default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMuhammad Shafique 0001
Muhammed Shafique 0001
Person information
- affiliation: New York University Abu Dhabi, UAE
- affiliation (former): TU Wien, Vienna, Austria
- affiliation (former): Karlsruhe Institute of Technology, Germany
Other persons with the same name
- Muhammad Shafique — disambiguation page
- Muhammad Shafique 0002 — King Fahd University of Petroleum and Minerals, Information and Computer Science Department
- Muhammad Shafique 0003 — University of Waterloo, Canada
- Muhammad Shafique 0004 — Carleton University, Ottawa, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j126]Amira Guesmi
, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation. IEEE Access 12: 13571-13585 (2024)- [j125]Neha A S, Vivek Chaturvedi, Muhammad Shafique:
FRNet: A Feature-Rich CNN Architecture to Defend Against Adversarial Attacks. IEEE Access 12: 26943-26956 (2024) - [j124]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. IEEE Access 12: 41180-41218 (2024) - [j123]Amin Kargar-Barzi, Ebrahim Farahmand, Nooshin Taheri-Chatrudi, Ali Mahani, Muhammad Shafique:
An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. IEEE Access 12: 85050-85060 (2024) - [j122]Alireza Senobari, Jafar Vafaei, Omid Akbari, Christian Hochberger, Muhammad Shafique:
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs Based on Statistical Error Modeling. IEEE Access 12: 92181-92197 (2024) - [j121]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends". IEEE Access 12: 112180 (2024) - [j120]Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique:
A Two-Level Thermal Cycling-Aware Task Mapping Technique for Reliability Management in Manycore Systems. IEEE Access 12: 113406-113421 (2024) - [j119]Minghao Shao, Abdul Basit, Ramesh Karri, Muhammad Shafique:
Survey of Different Large Language Model Architectures: Trends, Benchmarks, and Challenges. IEEE Access 12: 188664-188706 (2024) - [j118]Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. Mach. Learn. 113(5): 2499-2526 (2024) - [j117]Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari:
A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. IEEE Trans. Artif. Intell. 5(7): 3497-3509 (2024) - [j116]Muhammad Abdullah Hanif, Ayoub Arous, Muhammad Shafique:
DREAMx: A Data-Driven Error Estimation Methodology for Adders Composed of Cascaded Approximate Units. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 3348-3357 (2024) - [c277]Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CVPR 2024: 24595-24604 - [c276]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
Defending against Adversarial Patches using Dimensionality Reduction. DAC 2024: 222:1-222:6 - [c275]T. P. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique:
Tiny- VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. DATE 2024: 1-6 - [c274]Shuaihang Yuan, Muhammad Shafique, Mohamed Riyadh Baghdadi, Farshad Khorrami, Anthony Tzes, Yi Fang:
Zero-shot Object Navigation with Vision-Language Foundation Models Reasoning. ICARA 2024: 501-505 - [c273]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data Through Learning Rate Enhancements for Autonomous Embedded Systems. ICARCV 2024: 428-434 - [c272]Maha Nawaz, Abdul Basit, Muhammad Shafique:
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System. ICARCV 2024: 586-593 - [c271]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique:
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. ICARCV 2024: 612-619 - [c270]Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique:
RoboMed: On-Premise Medical Assistance Leveraging Large Language Models in Robotics. ICARCV 2024: 710-717 - [c269]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
A Methodology to Study the Impact of Spiking Neural Network Parameters Considering Event-Based Automotive Data. ICARCV 2024: 897-903 - [c268]Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique:
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-Based SLAM for Resource-Constrained Embedded Platforms. ICARCV 2024: 972-978 - [c267]Abdul Basit, Muhammad Shafique:
tinyDigiClones: A Multi-Modal LLM-Based Framework for Edge-optimized Personalized Avatars. IJCNN 2024: 1-9 - [c266]Sushil Bohara, Muhammad Abdullah Hanif, Muhammad Shafique:
CuriousRL: Curiosity-Driven Reinforcement Learning for Adaptive Locomotion in Quadruped Robots. IJCNN 2024: 1-8 - [c265]Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
FedQNN: Federated Learning using Quantum Neural Networks. IJCNN 2024: 1-9 - [c264]Muhammad Kashif, Emman Sychiuco, Muhammad Shafique:
Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks. IJCNN 2024: 1-10 - [c263]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
A Novel Weakly Supervised Semantic Segmentation Ensemble Framework for Medical Imaging. IJCNN 2024: 1-10 - [c262]Neha A S, Vivek Chaturvedi, Muhammad Shafique:
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks. IJCNN 2024: 1-8 - [c261]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
Camo-DNN: Layer Camouflaging to Protect DNNs against Timing Side-Channel Attacks. IOLTS 2024: 1-7 - [c260]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
SBanTEM: A Novel Methodology for Sparse Band Tensors as Soft-Error Mitigation in Sparse Convolutional Neural Networks. IOLTS 2024: 1-3 - [c259]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
EISFINN: On the Role of Efficient Importance Sampling in Fault Injection Campaigns for Neural Network Robustness Analysis. IOLTS 2024: 1-3 - [c258]Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique:
DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. IROS 2024: 334-340 - [c257]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique:
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. IROS 2024: 2786-2793 - [c256]Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique:
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. NeurIPS 2024 - [c255]Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
Quantum Clustering for Cybersecurity. QCE 2024: 5-10 - [c254]Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique:
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. QCE 2024: 341-346 - [c253]Kamila Zaman, Alberto Marchisio, Muhammad Kashif, Muhammad Shafique:
PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms. QCE 2024: 1397-1403 - [c252]Walid El Maouaki, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks. QSW 2024: 175-181 - [i165]Nandish Chattopadhyay, Amira Guesmi, Muhammad Shafique:
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks. CoRR abs/2402.06249 (2024) - [i164]Muhammad Kashif, Muhammad Shafique:
ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks. CoRR abs/2402.09146 (2024) - [i163]Eugenio Ressa, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems. CoRR abs/2402.09780 (2024) - [i162]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network Systems. CoRR abs/2402.11322 (2024) - [i161]Minghao Shao, Boyuan Chen, Sofija Jancheska, Brendan Dolan-Gavitt, Siddharth Garg, Ramesh Karri, Muhammad Shafique:
An Empirical Evaluation of LLMs for Solving Offensive Security Challenges. CoRR abs/2402.11814 (2024) - [i160]Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique, Jörg Henkel:
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends. CoRR abs/2402.15490 (2024) - [i159]Abdul Basit, Khizar Hussain, Muhammad Abdullah Hanif, Muhammad Shafique:
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices. CoRR abs/2403.00830 (2024) - [i158]Erik Ostrowski, Muhammad Shafique:
Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs. CoRR abs/2403.05340 (2024) - [i157]Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique:
A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems. CoRR abs/2403.06134 (2024) - [i156]Nouhaila Innan, Muhammad Al-Zafar Khan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
FedQNN: Federated Learning using Quantum Neural Networks. CoRR abs/2403.10861 (2024) - [i155]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Bassem Ouni, Muhammad Shafique:
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications. CoRR abs/2403.11515 (2024) - [i154]Maha Nawaz, Abdul Basit, Muhammad Shafique:
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System. CoRR abs/2403.19992 (2024) - [i153]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
A Methodology for Improving Accuracy of Embedded Spiking Neural Networks through Kernel Size Scaling. CoRR abs/2404.01685 (2024) - [i152]Nouhaila Innan, Alberto Marchisio, Muhammad Shafique, Mohamed Bennai:
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection. CoRR abs/2404.02595 (2024) - [i151]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Fakhreddine Zayer, Jorge Dias, Muhammad Shafique:
Embodied Neuromorphic Artificial Intelligence for Robotics: Perspectives, Challenges, and Research Development Stack. CoRR abs/2404.03325 (2024) - [i150]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
A Methodology to Study the Impact of Spiking Neural Network Parameters considering Event-Based Automotive Data. CoRR abs/2404.03493 (2024) - [i149]Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents. CoRR abs/2404.09331 (2024) - [i148]Nishant Suresh Aswani, Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition. CoRR abs/2405.03244 (2024) - [i147]Amira Guesmi, Nishant Suresh Aswani, Muhammad Shafique:
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach. CoRR abs/2405.06278 (2024) - [i146]Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg:
Model Cascading for Code: Reducing Inference Costs with Model Cascading for LLM Based Code Generation. CoRR abs/2405.15842 (2024) - [i145]Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique:
NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security. CoRR abs/2406.05590 (2024) - [i144]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
HASNAS: A Hardware-Aware Spiking Neural Architecture Search Framework for Neuromorphic Compute-in-Memory Systems. CoRR abs/2407.00641 (2024) - [i143]Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique:
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather. CoRR abs/2407.02581 (2024) - [i142]Iqra Bano, Rachmad Vidya Wicaksana Putra, Alberto Marchisio, Muhammad Shafique:
FastSpiker: Enabling Fast Training for Spiking Neural Networks on Event-based Data through Learning Rate Enhancements for Autonomous Embedded Systems. CoRR abs/2407.05262 (2024) - [i141]Alireza Senobari, Jafar Vafaei, Omid Akbari, Christian Hochberger, Muhammad Shafique:
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs based on Statistical Error Modeling. CoRR abs/2407.12029 (2024) - [i140]Neha A S, Vivek Chaturvedi, Muhammad Shafique:
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks. CoRR abs/2407.17587 (2024) - [i139]Walid El Maouaki, Nouhaila Innan, Alberto Marchisio, Taoufik Said, Mohamed Bennai, Muhammad Shafique:
Quantum Clustering for Cybersecurity. CoRR abs/2408.02314 (2024) - [i138]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy. CoRR abs/2408.02412 (2024) - [i137]Siddhant Dutta, Nouhaila Innan, Alberto Marchisio, Sadok Ben Yahia, Muhammad Shafique:
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction. CoRR abs/2408.03088 (2024) - [i136]Nishant Suresh Aswani, Saif Eddin Jabari, Muhammad Shafique:
Representing Neural Network Layers as Linear Operations via Koopman Operator Theory. CoRR abs/2409.01308 (2024) - [i135]Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique:
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling. CoRR abs/2409.01626 (2024) - [i134]Siddhant Dutta, Pavana P. Karanth, Pedro Maciel Xavier, Iago Leal de Freitas, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira:
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML. CoRR abs/2409.11430 (2024) - [i133]Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen, Muhammad Abdullah Hanif, Muhammad Shafique:
Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings. CoRR abs/2409.12184 (2024) - [i132]Niraj Pudasaini, Muhammad Abdullah Hanif, Muhammad Shafique:
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms. CoRR abs/2409.14515 (2024) - [i131]Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press:
EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges. CoRR abs/2409.16165 (2024) - [i130]Amira Guesmi, Muhammad Shafique:
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles. CoRR abs/2409.20426 (2024) - [i129]Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique:
Continual Learning with Neuromorphic Computing: Theories, Methods, and Applications. CoRR abs/2410.09218 (2024) - [i128]Muhammad Zaeem Shahzad, Muhammad Abdullah Hanif, Muhammad Shafique:
DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems. CoRR abs/2410.19336 (2024) - [i127]Amira Guesmi, Bassem Ouni, Muhammad Shafique:
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks. CoRR abs/2411.15246 (2024) - [i126]Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David Esteban Bernal Neira:
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption. CoRR abs/2412.01858 (2024) - [i125]Nouhaila Innan, Alberto Marchisio, Muhammad Shafique:
FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks. CoRR abs/2412.02293 (2024) - [i124]Nouhaila Innan, Alberto Marchisio, Mohamed Bennai, Muhammad Shafique:
LEP-QNN: Loan Eligibility Prediction Using Quantum Neural Networks. CoRR abs/2412.03158 (2024) - [i123]Minghao Shao, Abdul Basit, Ramesh Karri, Muhammad Shafique:
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges. CoRR abs/2412.03220 (2024) - [i122]Alberto Marchisio, Emman Sychiuco, Muhammad Kashif, Muhammad Shafique:
Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices. CoRR abs/2412.04844 (2024) - [i121]Avaneesh Devkota, Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents. CoRR abs/2412.04847 (2024) - [i120]Abolfazl Younesi, Mohsen Ansari, Alireza Ejlali, MohammadAmin Fazli, Muhammad Shafique, Jörg Henkel:
GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing. CoRR abs/2412.11310 (2024) - [i119]Mansour El Alami, Nouhaila Innan, Muhammad Shafique, Mohamed Bennai:
Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection. CoRR abs/2412.19441 (2024) - 2023
- [j115]Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique:
FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. IEEE Access 11: 58308-58317 (2023) - [j114]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
Physical Adversarial Attacks for Camera-Based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. IEEE Access 11: 109617-109668 (2023) - [j113]Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. Inf. 14(10): 537 (2023) - [j112]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
DAEM: A Data- and Application-Aware Error Analysis Methodology for Approximate Adders. Inf. 14(10): 570 (2023) - [j111]Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-Based Smart Vision Systems. Inf. 14(12): 634 (2023) - [j110]Roozbeh Siyadatzadeh, Fatemeh Mehrafrooz, Mohsen Ansari, Bardia Safaei, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
ReLIEF: A Reinforcement-Learning-Based Real-Time Task Assignment Strategy in Emerging Fault-Tolerant Fog Computing. IEEE Internet Things J. 10(12): 10752-10763 (2023) - [j109]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks. Microprocess. Microsystems 96: 104738 (2023) - [j108]Alberto Marchisio, Federico Teodonio, Antonello Rizzi, Muhammad Shafique:
ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA. Microprocess. Microsystems 97: 104763 (2023) - [j107]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
$\tt{PoisonedGNN}$: Backdoor Attack on Graph Neural Networks-Based Hardware Security Systems. IEEE Trans. Computers 72(10): 2822-2834 (2023) - [j106]Sayandip De, Muhammad Shafique, Henk Corporaal:
Delay Prediction for ASIC HLS: Comparing Graph-Based and Nongraph-Based Learning Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1133-1146 (2023) - [j105]Akshara Ravi, Vivek Chaturvedi, Muhammad Shafique:
ViT4Mal: Lightweight Vision Transformer for Malware Detection on Edge Devices. ACM Trans. Embed. Comput. Syst. 22(5s): 117:1-117:26 (2023) - [j104]Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique:
Design and Analysis of High Performance Heterogeneous Block-based Approximate Adders. ACM Trans. Embed. Comput. Syst. 22(6): 106:1-106:32 (2023) - [j103]Ali Akbar Bahoo, Omid Akbari, Muhammad Shafique:
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. IEEE Trans. Emerg. Top. Comput. 11(4): 851-867 (2023) - [j102]Mahum Naseer, Osman Hasan, Muhammad Shafique:
QuanDA: GPU Accelerated Quantitative Deep Neural Network Analysis. ACM Trans. Design Autom. Electr. Syst. 28(6): 95:1-95:21 (2023) - [j101]Jafar Vafaei, Omid Akbari, Muhammad Shafique, Christian Hochberger:
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. IEEE Trans. Very Large Scale Integr. Syst. 31(7): 1051-1064 (2023) - [c251]Mahum Naseer, Osman Hasan, Muhammad Shafique:
Scaling Model Checking for Neural Network Analysis via State-Space Reduction and Input Segmentation. FoMLAS@CAV 2023: 6-28 - [c250]Wenqing Li, Yue Wang, Muhammad Shafique, Saif Eddin Jabari:
Physical Backdoor Trigger Activation of Autonomous Vehicle Using Reachability Analysis. CDC 2023: 821-826 - [c249]Mohammad Abdullah Al Faruque, Muhammad Shafique:
Message from the Program Chair. CODES+ISSS 2023: viii - [c248]Muhammad Shafique:
Emerging Trends in Multi-Accelerator and Distributed System for ML: Devices, Architectures, Tools and Applications. DAC 2023: 1-2 - [c247]Muhammad Abdullah Hanif, Muhammad Shafique:
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. DATE 2023: 1-2 - [c246]Jorge Castro-Godínez, Muhammad Abdullah Hanif, Muhammad Shafique:
Cross-Layer Approximations for System-Level Optimizations: Challenges and Opportunities. DSN-W 2023: 163-166 - [c245]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. ICARA 2023: 197-201 - [c244]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. ICCAD 2023: 1-9 - [c243]Mahum Naseer, Muhammad Shafique:
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. ICST 2023: 474-477 - [c242]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens. IJCNN 2023: 1-10 - [c241]Muhammad Abdullah Hanif, Muhammad Shafique:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. IJCNN 2023: 1-8 - [c240]Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. IJCNN 2023: 1-9 - [c239]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. IJCNN 2023: 1-9 - [c238]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. IJCNN 2023: 1-9 - [c237]T. P. Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique:
FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays. IJCNN 2023: 1-8 - [c236]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
ShapeShifter: Protecting FPGAs from Side-Channel Attacks with Isofunctional Heterogeneous Modules. IOLTS 2023: 1-7 - [c235]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. IROS 2023: 3561-3567 - [c234]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. ISLPED 2023: 1-6 - [c233]Erik Ostrowski, Muhammad Shafique:
ISLE: A Framework for Image Level Semantic Segmentation Ensemble. ISVC (2) 2023: 41-52 - [c232]Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique:
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. ISVC (1) 2023: 44-55 - [c231]Mohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Siyadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems. RTAS 2023: 223-234 - [i118]Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique:
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks. CoRR abs/2302.12538 (2023) - [i117]Amira Guesmi, Muhammad Abdullah Hanif, Muhammad Shafique:
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems. CoRR abs/2303.01338 (2023) - [i116]Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation. CoRR abs/2303.01351 (2023) - [i115]Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani:
AdvART: Adversarial Art for Camouflaged Object Detection Attacks. CoRR abs/2303.01734 (2023) - [i114]Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
Exploring Machine Learning Privacy/Utility trade-off from a hyperparameters Lens. CoRR abs/2303.01819 (2023) - [i113]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents. CoRR abs/2303.01826 (2023) - [i112]Ebrahim Farahmand, Ali Mahani, Behnam Ghavami, Muhammad Abdullah Hanif, Muhammad Shafique:
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier with Linearization and Compensation. CoRR abs/2303.02495 (2023) - [i111]Amin Kargar-Barzi, Ebrahim Farahmand, Ali Mahani, Muhammad Shafique:
CAE-CNNLoc: An Edge-based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder. CoRR abs/2303.03699 (2023) - [i110]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. CoRR abs/2303.04734 (2023) - [i109]Mahya Morid Ahmadi, Faiq Khalid, Radha Vaidya, Florian Kriebel, Andreas Steininger, Muhammad Shafique:
SHIELD: An Adaptive and Lightweight Defense against the Remote Power Side-Channel Attacks on Multi-tenant FPGAs. CoRR abs/2303.06486 (2023) - [i108]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
DNN-Alias: Deep Neural Network Protection Against Side-Channel Attacks via Layer Balancing. CoRR abs/2303.06746 (2023) - [i107]Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique:
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. CoRR abs/2303.07852 (2023) - [i106]Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique:
BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. CoRR abs/2303.07853 (2023) - [i105]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Image Label based Semantic Segmentation Framework using Object Perimeters. CoRR abs/2303.07892 (2023) - [i104]Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique:
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. CoRR abs/2303.07896 (2023) - [i103]Erik Ostrowski, Muhammad Shafique:
AutoEnsemble: Automated Ensemble Search Framework for Semantic Segmentation Using Image Labels. CoRR abs/2303.07898 (2023) - [i102]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
ISimDL: Importance Sampling-Driven Acceleration of Fault Injection Simulations for Evaluating the Robustness of Deep Learning. CoRR abs/2303.08035 (2023) - [i101]Wenqing Li, Yue Wang, Muhammad Shafique, Saif Eddin Jabari:
Physical Backdoor Trigger Activation of Autonomous Vehicle using Reachability Analysis. CoRR abs/2303.13992 (2023) - [i100]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
PoisonedGNN: Backdoor Attack on Graph Neural Networks-based Hardware Security Systems. CoRR abs/2303.14009 (2023) - [i99]Mahum Naseer, Muhammad Shafique:
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs. CoRR abs/2303.16589 (2023) - [i98]Mahya Morid Ahmadi, Lilas Alrahis, Ozgur Sinanoglu, Muhammad Shafique:
FPGA-Patch: Mitigating Remote Side-Channel Attacks on FPGAs using Dynamic Patch Generation. CoRR abs/2304.02510 (2023) - [i97]Alberto Marchisio, Antonio De Marco, Alessio Colucci, Maurizio Martina, Muhammad Shafique:
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks. CoRR abs/2304.03973 (2023) - [i96]Alberto Marchisio, Davide Dura, Maurizio Capra, Maurizio Martina, Guido Masera, Muhammad Shafique:
SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers. CoRR abs/2304.03986 (2023) - [i95]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems. CoRR abs/2304.04039 (2023) - [i94]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
RescueSNN: Enabling Reliable Executions on Spiking Neural Network Accelerators under Permanent Faults. CoRR abs/2304.04041 (2023) - [i93]Muhammad Abdullah Hanif, Muhammad Shafique:
eFAT: Improving the Effectiveness of Fault-Aware Training for Mitigating Permanent Faults in DNN Hardware Accelerators. CoRR abs/2304.12949 (2023) - [i92]Amira Guesmi, Ruitian Ding, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique:
DAP: A Dynamic Adversarial Patch for Evading Person Detectors. CoRR abs/2305.11618 (2023) - [i91]Muhammad Abdullah Hanif, Muhammad Shafique:
FAQ: Mitigating the Impact of Faults in the Weight Memory of DNN Accelerators through Fault-Aware Quantization. CoRR abs/2305.12590 (2023) - [i90]Muhammad Abdullah Hanif, Muhammad Shafique:
Reduce: A Framework for Reducing the Overheads of Fault-Aware Retraining. CoRR abs/2305.12595 (2023) - [i89]Ali Akbar Bahoo, Omid Akbari, Muhammad Shafique:
An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling. CoRR abs/2306.09032 (2023) - [i88]Jafar Vafaei, Omid Akbari, Muhammad Shafique, Christian Hochberger:
X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems. CoRR abs/2306.09037 (2023) - [i87]Mahum Naseer, Osman Hasan, Muhammad Shafique:
Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version). CoRR abs/2306.17323 (2023) - [i86]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part I: Terminology and Software & Hardware Approximation Techniques. CoRR abs/2307.11124 (2023) - [i85]Vasileios Leon, Muhammad Abdullah Hanif, Giorgos Armeniakos, Xun Jiao, Muhammad Shafique, Kiamal Z. Pekmestzi, Dimitrios Soudris:
Approximate Computing Survey, Part II: Application-Specific & Architectural Approximation Techniques and Applications. CoRR abs/2307.11128 (2023) - [i84]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
SAAM: Stealthy Adversarial Attack on Monoculor Depth Estimation. CoRR abs/2308.03108 (2023) - [i83]Farzad Nikfam, Raffaele Casaburi, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks. CoRR abs/2308.05636 (2023) - [i82]Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammed Shafique:
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook. CoRR abs/2308.06173 (2023) - [i81]Kamila Zaman, Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead. CoRR abs/2310.10315 (2023) - [i80]T. P. Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique:
Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging. CoRR abs/2311.12082 (2023) - [i79]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches. CoRR abs/2311.12084 (2023) - [i78]Nandish Chattopadhyay, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction. CoRR abs/2311.12211 (2023) - 2022
- [j100]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. IEEE Access 10: 108997-109007 (2022) - [j99]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access 10: 109043-109055 (2022) - [j98]Iram Tariq Bhatti, Mahum Naseer, Muhammad Shafique, Osman Hasan:
A formal approach to identifying the impact of noise on neural networks. Commun. ACM 65(11): 70-73 (2022) - [j97]Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. J. Intell. Robotic Syst. 105(1): 9 (2022) - [j96]Muhammad Abdullah Hanif, Muhammad Shafique:
A cross-layer approach towards developing efficient embedded Deep Learning systems. Microprocess. Microsystems 88: 103609 (2022) - [j95]Salim Ullah, Semeen Rehman, Muhammad Shafique, Akash Kumar:
High-Performance Accurate and Approximate Multipliers for FPGA-Based Hardware Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(2): 211-224 (2022) - [j94]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Awais Mehmood Kamboh, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(4): 1167-1180 (2022) - [j93]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
OMLA: An Oracle-Less Machine Learning-Based Attack on Logic Locking. IEEE Trans. Circuits Syst. II Express Briefs 69(3): 1602-1606 (2022) - [j92]Muhammad Shafique, Theocharis Theocharides, Hai Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 1. ACM Trans. Embed. Comput. Syst. 21(5): 47:1-47:5 (2022) - [j91]Muhammad Shafique, Theocharis Theocharides, Hai (Helen) Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 2. ACM Trans. Embed. Comput. Syst. 21(6): 67:1-67:5 (2022) - [j90]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock+: A Systematic Methodology for Designing Graph Neural Networks-Based Oracle-Less Unlocking Schemes for Provably Secure Logic Locking. IEEE Trans. Emerg. Top. Comput. 10(3): 1575-1592 (2022) - [j89]Mohsen Ansari, Sepideh Safari, Sina Yari-Karin, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique, Jörg Henkel, Alireza Ejlali:
Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems. IEEE Trans. Emerg. Top. Comput. 10(4): 1883-1897 (2022) - [c230]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: low-cost fault tolerance for spiking neural network accelerators under soft errors. DAC 2022: 151-156 - [c229]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. DATE 2022: 694-699 - [c228]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security. ICCAD 2022: 4:1-4:9 - [c227]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. IJCNN 2022: 1-10 - [c226]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN 2022: 1-8 - [c225]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. IJCNN 2022: 1-9 - [c224]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. IJCNN 2022: 1-8 - [c223]Muhammad Shafique:
EDAML 2022 Invited Speaker 8: Machine Learning for Cross-Layer Reliability and Security. IPDPS Workshops 2022: 1189 - [c222]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. IROS 2022: 79-86 - [c221]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. IROS 2022: 5155-5162 - [c220]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. ISLPED 2022: 27:1-27:6 - [c219]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. VTS 2022: 1-14 - [i77]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors. CoRR abs/2203.05523 (2022) - [i76]Yue Wang, Wenqing Li, Esha Sarkar, Muhammad Shafique, Michail Maniatakos, Saif Eddin Jabari:
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. CoRR abs/2203.09289 (2022) - [i75]Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique:
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems. CoRR abs/2204.09514 (2022) - [i74]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. CoRR abs/2205.12295 (2022) - [i73]Alberto Marchisio, Giovanni Caramia, Maurizio Martina, Muhammad Shafique:
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems. CoRR abs/2205.13807 (2022) - [i72]Mahya Morid Ahmadi, Lilas Alrahis, Alessio Colucci, Ozgur Sinanoglu, Muhammad Shafique:
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks. CoRR abs/2206.00402 (2022) - [i71]Christopher J. Holder, Muhammad Shafique:
On Efficient Real-Time Semantic Segmentation: A Survey. CoRR abs/2206.08605 (2022) - [i70]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
tinySNN: Towards Memory- and Energy-Efficient Spiking Neural Networks. CoRR abs/2206.08656 (2022) - [i69]Alberto Marchisio, Beatrice Bussolino, Edoardo Salvati, Maurizio Martina, Guido Masera, Muhammad Shafique:
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. CoRR abs/2206.10200 (2022) - [i68]Alessio Colucci, Andreas Steininger, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. CoRR abs/2208.00328 (2022) - [i67]Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR abs/2208.00331 (2022) - [i66]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. CoRR abs/2208.02253 (2022) - [i65]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security (Invited Paper). CoRR abs/2208.08554 (2022) - [i64]Alberto Marchisio, Vojtech Mrazek, Andrea Massa, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. CoRR abs/2210.05276 (2022) - [i63]Farzad Nikfam, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient. CoRR abs/2210.06888 (2022) - [i62]Christopher J. Holder, Muhammad Shafique:
Efficient Neural Mapping for Localisation of Unmanned Ground Vehicles. CoRR abs/2211.04718 (2022) - [i61]Christopher J. Holder, Majid Khonji, Jorge Dias, Muhammad Shafique:
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning. CoRR abs/2211.16228 (2022) - [i60]Bharath Srinivas Prabakaran, Felix Fasching, Juri Schreib, Andreas Steininger, Muhammad Shafique:
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. CoRR abs/2212.10289 (2022) - [i59]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. CoRR abs/2212.12620 (2022) - 2021
- [j88]Dilshad Sabir, Muhammad Abdullah Hanif, Ali Hassan, Saad Rehman, Muhammad Shafique:
TiQSA: Workload Minimization in Convolutional Neural Networks Using Tile Quantization and Symmetry Approximation. IEEE Access 9: 53647-53668 (2021) - [j87]Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. IEEE Internet Things J. 8(17): 13251-13265 (2021) - [j86]Nivedita Shrivastava, Muhammad Abdullah Hanif, Sparsh Mittal, Smruti Ranjan Sarangi, Muhammad Shafique:
A survey of hardware architectures for generative adversarial networks. J. Syst. Archit. 118: 102227 (2021) - [j85]Bagh Ali, Sajjad Hussain, Muhammad Shafique, Danial Habib, Ghulam Rasool:
Analyzing the interaction of hybrid base liquid C2H6O2-H2O with hybrid nano-material Ag-MoS2 for unsteady rotational flow referred to an elongated surface using modified Buongiorno's model: FEM simulation. Math. Comput. Simul. 190: 57-74 (2021) - [j84]Maryam Idrees, Mohammed Manzar Maqbool, Muhammad Khurram Bhatti, Muhammad Mahboob Ur Rahman, Rehan Hafiz, Muhammad Shafique:
An approximate-computing empowered green 6G downlink. Phys. Commun. 49: 101444 (2021) - [j83]Marcelo Brandalero, Luigi Carro, Antonio Carlos Schneider Beck, Muhammad Shafique:
Multi-Target Adaptive Reconfigurable Acceleration for Low-Power IoT Processing. IEEE Trans. Computers 70(1): 83-98 (2021) - [j82]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique:
Longevity Framework: Leveraging Online Integrated Aging-Aware Hierarchical Mapping and VF-Selection for Lifetime Reliability Optimization in Manycore Processors. IEEE Trans. Computers 70(7): 1106-1119 (2021) - [j81]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1768-1781 (2021) - [j80]Jorge Castro-Godínez, Humberto Barrantes-García, Muhammad Shafique, Jörg Henkel:
AxLS: A Framework for Approximate Logic Synthesis Based on Netlist Transformations. IEEE Trans. Circuits Syst. II Express Briefs 68(8): 2845-2849 (2021) - [j79]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Off-Chip Memory Access Management and Data Organization for Deep Neural Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 702-715 (2021) - [j78]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators. IEEE Trans. Very Large Scale Integr. Syst. 29(4): 716-729 (2021) - [c218]Oliver Bringmann, Wolfgang Ecker, Ingo Feldner, Adrian Frischknecht, Christoph Gerum, Timo Hämäläinen, Muhammad Abdullah Hanif, Michael J. Klaiber, Daniel Mueller-Gritschneder, Paul Palomero Bernardo, Sebastian Siegfried Prebeck, Muhammad Shafique:
Automated HW/SW co-design for edge AI: state, challenges and steps ahead. CODES+ISSS 2021: 11-20 - [c217]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. DAC 2021: 379-384 - [c216]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. DAC 2021: 1057-1062 - [c215]Muhammad Shafique, Theocharis Theocharides, Vijay Janapa Reddi, Boris Murmann:
TinyML: Current Progress, Research Challenges, and Future Roadmap. DAC 2021: 1303-1306 - [c214]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Günther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. DATE 2021: 108-113 - [c213]Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. DATE 2021: 729-734 - [c212]Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. DATE 2021: 774-779 - [c211]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. DATE 2021: 780-785 - [c210]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
TRe-Map: Towards Reducing the Overheads of Fault-Aware Retraining of Deep Neural Networks by Merging Fault Maps. DSD 2021: 434-441 - [c209]Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels:
Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. ETS 2021: 1-10 - [c208]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c207]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. ICCAD 2021: 1-9 - [c206]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. ICCAD 2021: 1-9 - [c205]Christopher J. Holder, Muhammad Shafique:
Efficient Uncertainty Estimation in Semantic Segmentation via Distillation. ICCVW 2021: 3080-3087 - [c204]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. IJCNN 2021: 1-9 - [c203]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. IJCNN 2021: 1-8 - [c202]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. IJCNN 2021: 1-10 - [c201]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. IROS 2021: 6315-6321 - [c200]Jeferson González-Gómez, Steven Ávila-Ardón, Jonathan Rojas-González, Andres Stephen-Cantillano, Jorge Castro-Godínez, Carlos Salazar-García, Muhammad Shafique, Jörg Henkel:
TailoredCore: Generating Application-Specific RISC-V-based Cores. LASCAS 2021: 1-4 - [e3]Muhammad Shafique, Andreas Steininger, Lukás Sekanina, Milos Krstic, Goran Stojanovic, Vojtech Mrazek:
24th International Symposium on Design and Diagnostics of Electronic Circuits & Systems, DDECS 2021, Vienna, Austria, April 7-9, 2021. IEEE 2021, ISBN 978-1-6654-3595-6 [contents] - [i58]Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi:
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. CoRR abs/2101.02559 (2021) - [i57]Muhammad Abdullah Hanif, Muhammad Shafique:
DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures. CoRR abs/2101.12351 (2021) - [i56]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. CoRR abs/2103.00421 (2021) - [i55]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. CoRR abs/2103.00424 (2021) - [i54]Faiq Khalid, Muhammad Abdullah Hanif, Muhammad Shafique:
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks. CoRR abs/2105.03251 (2021) - [i53]Khadija Shaheen, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
Continual Learning for Real-World Autonomous Systems: Algorithms, Challenges and Frameworks. CoRR abs/2105.12374 (2021) - [i52]Ebrahim Farahmand, Ali Mahani, Muhammad Abdullah Hanif, Muhammad Shafique:
High Performance and Optimal Configuration of Accurate Heterogeneous Block-Based Approximate Adder. CoRR abs/2106.08800 (2021) - [i51]Mahya Morid Ahmadi, Faiq Khalid, Muhammad Shafique:
Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities. CoRR abs/2106.08877 (2021) - [i50]Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor. CoRR abs/2107.00401 (2021) - [i49]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks. CoRR abs/2107.00415 (2021) - [i48]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
Q-SpiNN: A Framework for Quantizing Spiking Neural Networks. CoRR abs/2107.01807 (2021) - [i47]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories. CoRR abs/2108.10271 (2021) - [i46]Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique:
R-SNN: An Analysis and Design Methodology for Robustifying Spiking Neural Networks against Adversarial Attacks through Noise Filters for Dynamic Vision Sensors. CoRR abs/2109.00533 (2021) - [i45]Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique:
BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. CoRR abs/2109.02909 (2021) - [i44]Muhammad Shafique, Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif:
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework. CoRR abs/2109.09829 (2021) - [i43]Lilas Alrahis, Satwik Patnaik, Muhammad Abdullah Hanif, Muhammad Shafique, Ozgur Sinanoglu:
UNTANGLE: Unlocking Routing and Logic Obfuscation Using Graph Neural Networks-based Link Prediction. CoRR abs/2111.07062 (2021) - [i42]Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. CoRR abs/2112.07178 (2021) - [i41]Afifa Ishtiaq, Muhammad Shafique, Osman Hassan:
CARiMoL: A Configurable Hardware Accelerator for Ringand Module Lattice-Based Post-Quantum Cryptography. IACR Cryptol. ePrint Arch. 2021: 714 (2021) - 2020
- [j77]Zakia Yahya, Muhammad Hassan, Muhammad Shahzad Younis, Muhammad Shafique:
Probabilistic Analysis of Targeted Attacks Using Transform-Domain Adversarial Examples. IEEE Access 8: 33855-33869 (2020) - [j76]Tuaha Nomani, Mujahid Mohsin, Zahid Pervaiz, Muhammad Shafique:
xUAVs: Towards Efficient Approximate Computing for UAVs - Low Power Approximate Adders With Single LUT Delay for FPGA-Based Aerial Imaging Optimization. IEEE Access 8: 102982-102996 (2020) - [j75]Mohsin Riaz, Rehan Hafiz, Salman Abdul Khaliq, Muhammad Faisal, Hafiz Talha Iqbal, Mohsen Ali, Muhammad Shafique:
CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for Hardware-Friendly Convolutional Neural Networks. IEEE Access 8: 127014-127021 (2020) - [j74]Mohsen Ansari, Mohammad Salehi, Sepideh Safari, Alireza Ejlali, Muhammad Shafique:
Peak-Power-Aware Primary-Backup Technique for Efficient Fault-Tolerance in Multicore Embedded Systems. IEEE Access 8: 142843-142857 (2020) - [j73]Paniti Achararit, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Shafique, Yuko Hara-Azumi:
APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators. IEEE Access 8: 165319-165334 (2020) - [j72]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. IEEE Access 8: 225134-225180 (2020) - [j71]Muhammad Abdullah Hanif, Aditya Manglik, Muhammad Shafique:
Resistive Crossbar-Aware Neural Network Design and Optimization. IEEE Access 8: 229066-229085 (2020) - [j70]Theocharis Theocharides, Muhammad Shafique, Jungwook Choi, Onur Mutlu:
Guest Editorial: Robust Resource-Constrained Systems for Machine Learning. IEEE Des. Test 37(2): 5-7 (2020) - [j69]Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi:
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead. IEEE Des. Test 37(2): 30-57 (2020) - [j68]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Martina:
An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks. Future Internet 12(7): 113 (2020) - [j67]Muhammad Kamran Ayub, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
PEAL: Probabilistic Error Analysis Methodology for Low-power Approximate Adders. ACM J. Emerg. Technol. Comput. Syst. 17(1): 1:1-1:37 (2020) - [j66]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Muhammad Shafique:
SIMCom: Statistical sniffing of inter-module communications for runtime hardware trojan detection. Microprocess. Microsystems 77: 103122 (2020) - [j65]Salah Ud Din, Naveed Akhtar, Shahzad Younis, Faisal Shafait, Atif Bin Mansoor, Muhammad Shafique:
Steganographic universal adversarial perturbations. Pattern Recognit. Lett. 135: 146-152 (2020) - [j64]Syed Ali Asadullah Bukhari, Faiq Khalid, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Toward Model Checking-Driven Fair Comparison of Dynamic Thermal Management Techniques Under Multithreaded Workloads. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(8): 1725-1738 (2020) - [j63]Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique:
X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2558-2571 (2020) - [j62]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
FSpiNN: An Optimization Framework for Memory-Efficient and Energy-Efficient Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3601-3613 (2020) - [j61]Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique:
MacLeR: Machine Learning-Based Runtime Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3748-3761 (2020) - [j60]Hazoor Ahmad, Tabasher Arif, Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
SuperSlash: A Unified Design Space Exploration and Model Compression Methodology for Design of Deep Learning Accelerators With Reduced Off-Chip Memory Access Volume. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4191-4204 (2020) - [j59]Heba Khdr, Muhammad Shafique, Santiago Pagani, Andreas Herkersdorf, Jörg Henkel:
Combinatorial Auctions for Temperature-Constrained Resource Management in Manycores. IEEE Trans. Parallel Distributed Syst. 31(7): 1605-1620 (2020) - [j58]Ahmed Hemani, Muhammad Shafique, Kolin Paul:
Guest Editorial: Special Issue on Architectures and Design Methods for Neural Networks. J. Signal Process. Syst. 92(11): 1215-1217 (2020) - [c199]Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress. CASES 2020: 12-14 - [c198]Alessio Colucci, Alberto Marchisio, Beatrice Bussolino, Vojtech Mrazek, Maurizio Martina, Guido Masera, Muhammad Shafique:
A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. CODES+ISSS 2020: 34-36 - [c197]Marcelo Brandalero, Bernardo Neuhaus Lignati, Antonio Carlos Schneider Beck, Muhammad Shafique, Michael Hübner:
Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. DAC 2020: 1-6 - [c196]Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique:
PEMACx: A Probabilistic Error Analysis Methodology for Adders with Cascaded Approximate Units. DAC 2020: 1-6 - [c195]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. DAC 2020: 1-6 - [c194]Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique:
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. DAC 2020: 1-6 - [c193]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. DAC 2020: 1-6 - [c192]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. DAC 2020: 1-6 - [c191]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. DATE 2020: 666-669 - [c190]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. DATE 2020: 1205-1210 - [c189]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. DATE 2020: 1241-1246 - [c188]Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. ICCAD 2020: 114:1-114:9 - [c187]Jorge Castro-Godínez, Julián Mateus-Vargas, Muhammad Shafique, Jörg Henkel:
AxHLS: Design Space Exploration and High-Level Synthesis of Approximate Accelerators using Approximate Functional Units and Analytical Models. ICCAD 2020: 117:1-117:9 - [c186]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
FaDec: A Fast Decision-based Attack for Adversarial Machine Learning. IJCNN 2020: 1-8 - [c185]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks. IJCNN 2020: 1-8 - [c184]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks. IJCNN 2020: 1-8 - [c183]Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. IJCNN 2020: 1-9 - [c182]Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. IJCNN 2020: 1-8 - [c181]Muhammad Abdullah Hanif, Muhammad Shafique:
Dependable Deep Learning: Towards Cost-Efficient Resilience of Deep Neural Network Accelerators against Soft Errors and Permanent Faults. IOLTS 2020: 1-4 - [c180]Jorge Castro-Godínez, Deykel Hernández-Araya, Muhammad Shafique, Jörg Henkel:
Approximate Acceleration for CNN-based Applications on IoT Edge Devices. LASCAS 2020: 1-4 - [c179]Deykel Hernández-Araya, Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
AUGER: A Tool for Generating Approximate Arithmetic Circuits. LASCAS 2020: 1-4 - [c178]Muhammad Abdullah Hanif, Le Ha Hoang, Muhammad Shafique:
Cross-layer approaches for improving the dependability of deep learning systems. SCOPES 2020: 78-81 - [i40]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Maurizio Martina, Guido Masera, Muhammad Shafique:
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks. CoRR abs/2004.07116 (2020) - [i39]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
DRMap: A Generic DRAM Data Mapping Policy for Energy-Efficient Processing of Convolutional Neural Networks. CoRR abs/2004.10341 (2020) - [i38]Marcelo Brandalero, Bernardo Neuhaus Lignati, Antonio Carlos Schneider Beck, Muhammad Shafique, Michael Hübner:
Proactive Aging Mitigation in CGRAs through Utilization-Aware Allocation. CoRR abs/2004.10470 (2020) - [i37]Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique:
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. CoRR abs/2004.10491 (2020) - [i36]Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. CoRR abs/2004.10502 (2020) - [i35]Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique:
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips. CoRR abs/2005.08041 (2020) - [i34]Riccardo Massa, Alberto Marchisio, Maurizio Martina, Muhammad Shafique:
An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor. CoRR abs/2006.09985 (2020) - [i33]Rachmad Vidya Wicaksana Putra, Muhammad Shafique:
FSpiNN: An Optimization Framework for Memory- and Energy-Efficient Spiking Neural Networks. CoRR abs/2007.08860 (2020) - [i32]Alberto Marchisio, Andrea Massa, Vojtech Mrazek, Beatrice Bussolino, Maurizio Martina, Muhammad Shafique:
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks. CoRR abs/2008.08476 (2020) - [i31]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware. CoRR abs/2010.05754 (2020) - [i30]Faiq Khalid, Syed Rafay Hasan, Sara Zia, Osman Hasan, Falah Awwad, Muhammad Shafique:
MacLeR: Machine Learning-based Run-Time Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. CoRR abs/2011.11632 (2020) - [i29]Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique:
MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences. CoRR abs/2012.05270 (2020) - [i28]Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani:
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters. CoRR abs/2012.05321 (2020) - [i27]Lilas Alrahis, Satwik Patnaik, Faiq Khalid, Muhammad Abdullah Hanif, Hani H. Saleh, Muhammad Shafique, Ozgur Sinanoglu:
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking. CoRR abs/2012.05948 (2020) - [i26]Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. CoRR abs/2012.11233 (2020)
2010 – 2019
- 2019
- [j57]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Toward the Resilient Internet of Things for Cyber-Physical Systems. IEEE Access 7: 13260-13283 (2019) - [j56]G. A. Gillani, Muhammad Abdullah Hanif, B. Verstoep, Sabih H. Gerez, Muhammad Shafique, André B. J. Kokkeler:
MACISH: Designing Approximate MAC Accelerators With Internal-Self-Healing. IEEE Access 7: 77142-77160 (2019) - [j55]Bharath Srinivas Prabakaran, Mihika Dave, Florian Kriebel, Semeen Rehman, Muhammad Shafique:
Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors. IEEE Access 7: 145324-145339 (2019) - [j54]Sai Manoj Pudukotai Dinakarrao, Axel Jantsch, Muhammad Shafique:
Computer-aided Arrhythmia Diagnosis with Bio-signal Processing: A Survey of Trends and Techniques. ACM Comput. Surv. 52(2): 23:1-23:37 (2019) - [j53]Sai Manoj Pudukotai Dinakarrao, Arun Joseph, Anand Haridass, Muhammad Shafique, Jörg Henkel, Houman Homayoun:
Application and Thermal-reliability-aware Reinforcement Learning Based Multi-core Power Management. ACM J. Emerg. Technol. Comput. Syst. 15(4): 33:1-33:19 (2019) - [j52]Alberto Paltrinieri, Riccardo Peloso, Guido Masera, Muhammad Shafique, Maurizio Martina:
On the Effect of Approximate-Computing in Motion Estimation. J. Low Power Electron. 15(1): 40-50 (2019) - [j51]Sana Mazahir, Osman Hasan, Muhammad Shafique:
Self-compensating accelerators for efficient approximate computing. Microelectron. J. 88: 9-17 (2019) - [j50]Rida Amjad, Rehan Hafiz, Muhammad U. Ilyas, Muhammad Shahzad Younis, Muhammad Shafique:
m-SAAC: Multi-stage adaptive approximation control to select approximate computing modes for vision applications. Microelectron. J. 91: 84-91 (2019) - [j49]Felipe Martin Sampaio, Bruno Zatt, Muhammad Shafique, Jörg Henkel, Sergio Bampi:
Hybrid Scratchpad Video Memory Architecture for Energy-Efficient Parallel HEVC. IEEE Trans. Circuits Syst. Video Technol. 29(10): 3046-3060 (2019) - [j48]Jorge Castro-Godínez, Muhammad Shafique, Jörg Henkel:
ECAx: Balancing Error Correction Costs in Approximate Accelerators. ACM Trans. Embed. Comput. Syst. 18(5s): 48:1-48:20 (2019) - [c177]Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique:
CANN: Curable Approximations for High-Performance Deep Neural Network Accelerators. DAC 2019: 6 - [c176]Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. DAC 2019: 123 - [c175]Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg:
Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. DAC 2019: 175 - [c174]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique:
LifeGuard: A Reinforcement Learning-Based Task Mapping Strategy for Performance-Centric Aging Management. DAC 2019: 179 - [c173]Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Shafique:
XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. DAC 2019: 184 - [c172]Marcelo Brandalero, Muhammad Shafique, Luigi Carro, Antonio Carlos Schneider Beck:
TransRec: Improving Adaptability in Single-ISA Heterogeneous Systems with Transparent and Reconfigurable Acceleration. DATE 2019: 582-585 - [c171]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. DATE 2019: 902-907 - [c170]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. DATE 2019: 914-919 - [c169]Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. DATE 2019: 964-967 - [c168]Sajjad Hussain, Muhammad Shafique, Jörg Henkel:
A Fine-Grained Soft Error Resilient Architecture under Power Considerations. DATE 2019: 972-975 - [c167]Sajjad Hussain, Muhammad Shafique, Jörg Henkel:
Thermal-Awareness in a Soft Error Tolerant Architecture. DATE 2019: 1555-1558 - [c166]Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique:
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. ICCAD 2019: 1-8 - [c165]Florian Kriebel, Semeen Rehman, Muhammad Shafique:
Studying Aging and Soft Error Mitigation Jointly under Constrained Scenarios in Multi-Cores. IOLTS 2019: 139-142 - [c164]Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. IOLTS 2019: 182-187 - [c163]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks. IOLTS 2019: 188-193 - [c162]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Muhammad Shafique:
Towards Scalable Lifetime Reliability Management for Dark Silicon Manycore Systems. IOLTS 2019: 204-207 - [c161]Muhammad Abdullah Hanif, Muhammad Zuhaib Akbar, Rehan Ahmed, Semeen Rehman, Axel Jantsch, Muhammad Shafique:
MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks. ISLPED 2019: 1-6 - [c160]Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides, Muhammad Shafique:
Deep Learning for Edge Computing: Current Trends, Cross-Layer Optimizations, and Open Research Challenges. ISVLSI 2019: 553-559 - [p6]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
Configurable Models and Design Space Exploration for Low-Latency Approximate Adders. Approximate Circuits 2019: 3-23 - [p5]Semeen Rehman, Bharath Srinivas Prabakaran, Walaa El-Harouni, Muhammad Shafique, Jörg Henkel:
Heterogeneous Approximate Multipliers: Architectures and Design Methodologies. Approximate Circuits 2019: 45-66 - [p4]Sana Mazahir, Muhammad Kamran Ayub, Osman Hasan, Muhammad Shafique:
Probabilistic Error Analysis of Approximate Adders and Multipliers. Approximate Circuits 2019: 99-120 - [p3]Bharath Srinivas Prabakaran, Walaa El-Harouni, Semeen Rehman, Muhammad Shafique:
Approximate Multi-Accelerator Tiled Architecture for Energy-Efficient Motion Estimation. Approximate Circuits 2019: 249-268 - [p2]Muhammad Abdullah Hanif, Muhammad Usama Javed, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
Hardware-Software Approximations for Deep Neural Networks. Approximate Circuits 2019: 269-288 - [e2]Sherief Reda, Muhammad Shafique:
Approximate Circuits, Methodologies and CAD. Springer 2019, ISBN 978-3-319-99321-8 [contents] - [i25]Hazoor Ahmad, Muhammad Tanvir, Muhammad Abdullah, Muhammad Usama Javed, Rehan Hafiz, Muhammad Shafique:
Systimator: A Design Space Exploration Methodology for Systolic Array based CNNs Acceleration on the FPGA-based Edge Nodes. CoRR abs/1901.04986 (2019) - [i24]Faiq Khalid, Syed Rafay Hasan, Osman Hasan, Falah Awwad, Muhammad Shafique:
SIMCom: Statistical Sniffing of Inter-Module Communications for Run-time Hardware Trojan Detection. CoRR abs/1901.07299 (2019) - [i23]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks. CoRR abs/1901.09878 (2019) - [i22]Faiq Khalid, Hassan Ali, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
RED-Attack: Resource Efficient Decision based Attack for Machine Learning. CoRR abs/1901.10258 (2019) - [i21]Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples? CoRR abs/1902.01147 (2019) - [i20]Alberto Marchisio, Muhammad Shafique:
CapStore: Energy-Efficient Design and Management of the On-Chip Memory for CapsuleNet Inference Accelerators. CoRR abs/1902.01151 (2019) - [i19]Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
ROMANet: Fine-Grained Reuse-Driven Data Organization and Off-Chip Memory Access Management for Deep Neural Network Accelerators. CoRR abs/1902.10222 (2019) - [i18]Vojtech Mrazek, Muhammad Abdullah Hanif, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique:
autoAx: An Automatic Design Space Exploration and Circuit Building Methodology utilizing Libraries of Approximate Components. CoRR abs/1902.10807 (2019) - [i17]Alberto Marchisio, Beatrice Bussolino, Alessio Colucci, Muhammad Abdullah Hanif, Maurizio Martina, Guido Masera, Muhammad Shafique:
X-TrainCaps: Accelerated Training of Capsule Nets through Lightweight Software Optimizations. CoRR abs/1905.10142 (2019) - [i16]Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Abdullah Hanif, Muhammad Shafique:
ALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining. CoRR abs/1907.07229 (2019) - [i15]Alberto Marchisio, Vojtech Mrazek, Muhammad Abdullah Hanif, Muhammad Shafique:
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations. CoRR abs/1912.00700 (2019) - [i14]Le Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique:
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation. CoRR abs/1912.00941 (2019) - [i13]Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique:
FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks. CoRR abs/1912.01978 (2019) - 2018
- [j47]Heba Khdr, Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Chapter Four - Dark Silicon Aware Resource Management for Many-Core Systems. Adv. Comput. 110: 127-170 (2018) - [j46]Imran Hafeez Abbassi, Faiq Khalid, Osman Hasan, Awais Mehmood Kamboh, Muhammad Shafique:
McSeVIC: A Model Checking Based Framework for Security Vulnerability Analysis of Integrated Circuits. IEEE Access 6: 32240-32257 (2018) - [j45]G. A. Gillani, Muhammad Abdullah Hanif, M. Krone, Sabih H. Gerez, Muhammad Shafique, André B. J. Kokkeler:
Squash: Approximate Square-Accumulate With Self-Healing. IEEE Access 6: 49112-49128 (2018) - [j44]Sana Mazahir, Osman Hasan, Muhammad Shafique:
Adaptive Approximate Computing in Arithmetic Datapaths. IEEE Des. Test 35(4): 65-74 (2018) - [j43]Mohammad Salehi, Alireza Ejlali, Muhammad Shafique:
Run-Time Adaptive Power-Aware Reliability Management for Manycores. IEEE Des. Test 35(5): 36-44 (2018) - [j42]Sai Manoj P. D., Axel Jantsch, Muhammad Shafique:
SmartDPM: Machine Learning-Based Dynamic Power Management for Multi-Core Microprocessors. J. Low Power Electron. 14(4): 460-474 (2018) - [j41]Muhammad Abdullah Hanif, Alberto Marchisio, Tabasher Arif, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
X-DNNs: Systematic Cross-Layer Approximations for Energy-Efficient Deep Neural Networks. J. Low Power Electron. 14(4): 520-534 (2018) - [j40]Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique:
Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures. IEEE Micro 38(6): 63-72 (2018) - [j39]Haeseung Lee, Muhammad Shafique, Mohammad Abdullah Al Faruque:
Aging-Aware Workload Management on Embedded GPU Under Process Variation. IEEE Trans. Computers 67(7): 920-933 (2018) - [j38]Anil Kanduri, Mohammad Hashem Haghbayan, Amir M. Rahmani, Muhammad Shafique, Axel Jantsch, Pasi Liljeberg:
adBoost: Thermal Aware Performance Boosting Through Dark Silicon Patterning. IEEE Trans. Computers 67(8): 1062-1077 (2018) - [j37]Dakai Zhu, Muhammad Shafique, Man Lin, Sudeep Pasricha:
Guest Editorial: Special Issue on Low-Power Dependable Computing. IEEE Trans. Sustain. Comput. 3(3): 137-138 (2018) - [c159]Paolo Selvo, Maurizio Masera, Riccardo Peloso, Guido Masera, Muhammad Shafique, Maurizio Martina:
An Optimized Partial-Distortion-Elimination Based Sum-of-Absolute-Differences Architecture for High-Efficiency-Video-Coding. ApplePies 2018: 245-251 - [c158]Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
QoS-aware stochastic power management for many-cores. DAC 2018: 69:1-69:6 - [c157]Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar:
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC 2018: 159:1-159:6 - [c156]Marcelo Brandalero, Luigi Carro, Antonio Carlos Schneider Beck, Muhammad Shafique:
Approximate on-the-fly coarse-grained reconfigurable acceleration for general-purpose applications. DAC 2018: 160:1-160:6 - [c155]Omid Akbari, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram, Muhammad Shafique:
PX-CGRA: Polymorphic approximate coarse-grained reconfigurable architecture. DATE 2018: 413-418 - [c154]Mohammad Taghi Teimoori, Muhammad Abdullah Hanif, Alireza Ejlali, Muhammad Shafique:
AdAM: Adaptive approximation management for the non-volatile memory hierarchies. DATE 2018: 785-790 - [c153]Muhammad Shafique, Theocharis Theocharides, Christos-Savvas Bouganis, Muhammad Abdullah Hanif, Faiq Khalid, Rehan Hafiz, Semeen Rehman:
An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. DATE 2018: 827-832 - [c152]Muhammad Abdullah Hanif, Rehan Hafiz, Muhammad Shafique:
Error resilience analysis for systematically employing approximate computing in convolutional neural networks. DATE 2018: 913-916 - [c151]Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique:
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. DATE 2018: 917-920 - [c150]Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, R. Rohith, Siew-Kei Lam, Muhammad Shafique:
HiMap: A hierarchical mapping approach for enhancing lifetime reliability of dark silicon manycore systems. DATE 2018: 991-996 - [c149]Jorge Castro-Godínez, Sven Esser, Muhammad Shafique, Santiago Pagani, Jörg Henkel:
Compiler-driven error analysis for designing approximate accelerators. DATE 2018: 1027-1032 - [c148]Muhammad Shafique, Faiq Khalid, Semeen Rehman:
Intelligent Security Measures for Smart Cyber Physical Systems. DSD 2018: 280-287 - [c147]Alberto Marchisio, Rachmad Vidya Wicaksana Putra, Muhammad Abdullah Hanif, Muhammad Shafique:
HW/SW co-design and co-optimizations for deep learning. INTESA@ESWEEK 2018: 13-18 - [c146]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-Based Systems: Attacks and Challenges During Training and Inference. FIT 2018: 327-332 - [c145]Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique:
PruNet: Class-Blind Pruning Method For Deep Neural Networks. IJCNN 2018: 1-8 - [c144]Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique:
Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS 2018: 115-118 - [c143]Muhammad Abdullah Hanif, Faiq Khalid, Rachmad Vidya Wicaksana Putra, Semeen Rehman, Muhammad Shafique:
Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks. IOLTS 2018: 257-260 - [c142]Muluken Hailesellasie, Syed Rafay Hasan, Faiq Khalid, Falah Awwad, Muhammad Shafique:
FPGA-Based Convolutional Neural Network Architecture with Reduced Parameter Requirements. ISCAS 2018: 1-5 - [c141]Faiq Khalid, Sunil Nanjiani, Syed Rafay Hasan, Osman Hasan, Falah R. Awwad, Muhammad Shafique:
Low Power Digital Clock Multipliers for Battery-Operated Internet of Things (IoT) Devices. ISCAS 2018: 1-5 - [c140]Florian Kriebel, Semeen Rehman, Muhammad Abdullah Hanif, Faiq Khalid, Muhammad Shafique:
Robustness for Smart Cyber Physical Systems and Internet-of-Things: From Adaptive Robustness Methods to Reliability and Security for Machine Learning. ISVLSI 2018: 581-586 - [c139]Vanchinathan Venkataramani, Anuj Pathania, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Scalable Dynamic Task Scheduling on Adaptive Many-Core. MCSoC 2018: 168-175 - [c138]Alberto Paltrinieri, Riccardo Peloso, Guido Masera, Muhammad Shafique, Maurizio Martina:
Approximate-Computing Architectures for Motion Estimation in HEVC. NGCAS 2018: 190-193 - [i12]Denise Ratasich, Faiq Khalid, Florian Geissler, Radu Grosu, Muhammad Shafique, Ezio Bartocci:
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems. CoRR abs/1810.06870 (2018) - [i11]Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Tanvir, Rehan Hafiz, Semeen Rehman, Muhammad Shafique:
MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks. CoRR abs/1810.12910 (2018) - [i10]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
ISA4ML: Training Data-Unaware Imperceptible Security Attacks on Machine Learning Modules of Autonomous Vehicles. CoRR abs/1811.01031 (2018) - [i9]Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks. CoRR abs/1811.01437 (2018) - [i8]Hammad Tariq, Hassan Ali, Muhammad Abdullah Hanif, Faiq Khalid, Semeen Rehman, Rehan Ahmed, Muhammad Shafique:
SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks. CoRR abs/1811.01443 (2018) - [i7]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique:
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. CoRR abs/1811.01444 (2018) - [i6]Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique:
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference. CoRR abs/1811.01463 (2018) - [i5]Alberto Marchisio, Muhammad Abdullah Hanif, Semeen Rehman, Maurizio Martina, Muhammad Shafique:
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks. CoRR abs/1811.03980 (2018) - [i4]Bharath Srinivas Prabakaran, Mihika Dave, Semeen Rehman, Florian Kriebel, Muhammad Shafique:
Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. CoRR abs/1811.07612 (2018) - [i3]Alberto Marchisio, Muhammad Abdullah Hanif, Muhammad Shafique:
CapsAcc: An Efficient Hardware Accelerator for CapsuleNets with Data Reuse. CoRR abs/1811.08932 (2018) - [i2]Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique:
TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. CoRR abs/1812.02770 (2018) - [i1]Faiq Khalid, Imran Hafeez Abbassi, Semeen Rehman, Osman Hasan, Muhammad Shafique:
ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits. CoRR abs/1812.05446 (2018) - 2017
- [j36]Muhammad Shafique, Siddharth Garg, Vikas Chandra:
Guest Editors' Introduction: Computing in the Dark Silicon Era. IEEE Des. Test 34(2): 5-7 (2017) - [j35]Muhammad Shafique, Siddharth Garg:
Computing in the Dark Silicon Era: Current Trends and Research Challenges. IEEE Des. Test 34(2): 8-23 (2017) - [j34]Junaid Qadir, Arjuna Sathiaseelan, Umar Bin Farooq, Muhammad Usama, Muhammad Ali Imran, Muhammad Shafique:
Approximate Networking for Universal Internet Access. Future Internet 9(4): 94 (2017) - [j33]Muhammad Usama Sardar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Theorem proving based Formal Verification of Distributed Dynamic Thermal Management schemes. J. Parallel Distributed Comput. 100: 157-171 (2017) - [j32]Mateus Grellert, Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Complexity control of HEVC encoders targeting real-time constraints. J. Real Time Image Process. 13(1): 5-24 (2017) - [j31]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
FAMe-TM: Formal analysis methodology for task migration algorithms in Many-Core systems. Sci. Comput. Program. 133: 154-174 (2017) - [j30]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Defragmentation of Tasks in Many-Core Architecture. ACM Trans. Archit. Code Optim. 14(1): 2:1-2:21 (2017) - [j29]Santiago Pagani, Heba Khdr, Jian-Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel:
Thermal Safe Power (TSP): Efficient Power Budgeting for Heterogeneous Manycore Systems in Dark Silicon. IEEE Trans. Computers 66(1): 147-162 (2017) - [j28]Heba Khdr, Santiago Pagani, Éricles Sousa, Vahid Lari, Anuj Pathania, Frank Hannig, Muhammad Shafique, Jürgen Teich, Jörg Henkel:
Power Density-Aware Resource Management for Heterogeneous Tiled Multicores. IEEE Trans. Computers 66(3): 488-501 (2017) - [j27]Sana Mazahir, Osman Hasan, Rehan Hafiz, Muhammad Shafique, Jörg Henkel:
Probabilistic Error Modeling for Approximate Adders. IEEE Trans. Computers 66(3): 515-530 (2017) - [j26]Muhammad Shafique, Semeen Rehman, Florian Kriebel, Muhammad Usman Karim Khan, Bruno Zatt, Arun Subramaniyan, Bruno Boessio Vizzotto, Jörg Henkel:
Application-Guided Power-Efficient Fault Tolerance for H.264 Context Adaptive Variable Length Coding. IEEE Trans. Computers 66(4): 560-574 (2017) - [j25]Tuo Li, Muhammad Shafique, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
Fine-Grained Checkpoint Recovery for Application-Specific Instruction-Set Processors. IEEE Trans. Computers 66(4): 647-660 (2017) - [j24]Sana Mazahir, Osman Hasan, Rehan Hafiz, Muhammad Shafique:
Probabilistic Error Analysis of Approximate Recursive Multipliers. IEEE Trans. Computers 66(11): 1982-1990 (2017) - [j23]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Optimal Greedy Algorithm for Many-Core Scheduling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(6): 1054-1058 (2017) - [j22]Santiago Pagani, Anuj Pathania, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Energy Efficiency for Clustered Heterogeneous Multicores. IEEE Trans. Parallel Distributed Syst. 28(5): 1315-1330 (2017) - [c137]Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique:
QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders. DAC 2017: 42:1-42:6 - [c136]Haeseung Lee, Muhammad Shafique, Mohammad Abdullah Al Faruque:
Low-overhead Aging-aware Resource Management on Embedded GPUs. DAC 2017: 67:1-67:6 - [c135]Muhammad Kamran Ayub, Osman Hasan, Muhammad Shafique:
Statistical Error Analysis for Low Power Approximate Adders. DAC 2017: 75:1-75:6 - [c134]Arun Subramaniyan, Semeen Rehman, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Soft error-aware architectural exploration for designing reliability adaptive cache hierarchies in multi-cores. DATE 2017: 37-42 - [c133]Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Scalable probabilistic power budgeting for many-cores. DATE 2017: 864-869 - [c132]Anupam Chattopadhyay, Alok Prakash, Muhammad Shafique:
Secure Cyber-Physical Systems: Current trends, tools and open research problems. DATE 2017: 1104-1109 - [c131]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
CAnDy-TM: Comparative analysis of dynamic thermal management in many-cores using model checking. DATE 2017: 1289-1292 - [c130]Walaa El-Harouni, Semeen Rehman, Bharath Srinivas Prabakaran, Akash Kumar, Rehan Hafiz, Muhammad Shafique:
Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. DATE 2017: 1384-1389 - [c129]Denise Ratasich, Oliver Höftberger, Haris Isakovic, Muhammad Shafique, Radu Grosu:
A Self-Healing Framework for Building Resilient Cyber-Physical Systems. ISORC 2017: 133-140 - [c128]Muhammad Shafique, Rehan Hafiz, Muhammad Usama Javed, Sarmad Abbas, Lukás Sekanina, Zdenek Vasícek, Vojtech Mrazek:
Adaptive and Energy-Efficient Architectures for Machine Learning: Challenges, Opportunities, and Research Roadmap. ISVLSI 2017: 627-632 - [p1]Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Design Space Exploration and Run-Time Adaptation for Multicore Resource Management Under Performance and Power Constraints. Handbook of Hardware/Software Codesign 2017: 301-332 - 2016
- [b4]Semeen Rehman, Muhammad Shafique, Jörg Henkel:
Reliable Software for Unreliable Hardware - A Cross Layer Perspective. Springer 2016, ISBN 978-3-319-25770-9, pp. I-XXI, 1-237 - [j21]Florian Kriebel, Muhammad Shafique, Semeen Rehman, Jörg Henkel, Siddharth Garg:
Variability and Reliability Awareness in the Age of Dark Silicon. IEEE Des. Test 33(2): 59-67 (2016) - [j20]Semeen Rehman, Kuan-Hsun Chen, Florian Kriebel, Anas Toma, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Cross-Layer Software Dependability on Unreliable Hardware. IEEE Trans. Computers 65(1): 80-94 (2016) - [j19]Muhammad Shafique, Anton Ivanov, Benjamin Vogel, Jörg Henkel:
Scalable Power Management for On-Chip Systems with Malleable Applications. IEEE Trans. Computers 65(11): 3398-3412 (2016) - [j18]Kuan-Hsun Chen, Jian-Jia Chen, Florian Kriebel, Semeen Rehman, Muhammad Shafique, Jörg Henkel:
Task Mapping for Redundant Multithreading in Multi-Cores with Reliability and Performance Heterogeneity. IEEE Trans. Computers 65(11): 3441-3455 (2016) - [j17]Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel:
Content-Aware Low-Power Configurable Aging Mitigation for SRAM Memories. IEEE Trans. Computers 65(12): 3617-3630 (2016) - [j16]Amit Kumar Singh, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Resource and Throughput Aware Execution Trace Analysis for Efficient Run-Time Mapping on MPSoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(1): 72-85 (2016) - [j15]Florian Kriebel, Semeen Rehman, Arun Subramaniyan, Segnon Jean Bruno Ahandagbe, Muhammad Shafique, Jörg Henkel:
Reliability-Aware Adaptations for Shared Last-Level Caches in Multi-Cores. ACM Trans. Embed. Comput. Syst. 15(4): 67:1-67:26 (2016) - [j14]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Power-Efficient Workload Balancing for Video Applications. IEEE Trans. Very Large Scale Integr. Syst. 24(6): 2089-2102 (2016) - [j13]Mohammad Salehi, Mohammad Khavari Tavana, Semeen Rehman, Muhammad Shafique, Alireza Ejlali, Jörg Henkel:
Two-State Checkpointing for Energy-Efficient Fault Tolerance in Hard Real-Time Systems. IEEE Trans. Very Large Scale Integr. Syst. 24(7): 2426-2437 (2016) - [j12]Amit Kumar Singh, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Analysis and Mapping for Thermal and Energy Efficiency of 3-D Video Processing on 3-D Multicore Processors. IEEE Trans. Very Large Scale Integr. Syst. 24(8): 2745-2758 (2016) - [c127]Paul Bogdan, Partha Pratim Pande, Hussam Amrouch, Muhammad Shafique, Jörg Henkel:
Power and thermal management in massive multicore chips: theoretical foundation meets architectural innovation and resource allocation. CASES 2016: 4:1-4:2 - [c126]Florian Kriebel, Semeen Rehman, Muhammad Shafique, Jörg Henkel:
ageOpt-RMT: compiler-driven variation-aware aging optimization for redundant multithreading. DAC 2016: 46:1-46:6 - [c125]Alok Prakash, Hussam Amrouch, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Improving mobile gaming performance through cooperative CPU-GPU thermal management. DAC 2016: 47:1-47:6 - [c124]Sana Mazahir, Osman Hasan, Rehan Hafiz, Muhammad Shafique, Jörg Henkel:
An area-efficient consolidated configurable error correction for approximate hardware accelerators. DAC 2016: 96:1-96:6 - [c123]Muhammad Shafique, Rehan Hafiz, Semeen Rehman, Walaa El-Harouni, Jörg Henkel:
Invited - Cross-layer approximate computing: from logic to architectures. DAC 2016: 99:1-99:6 - [c122]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Distributed scheduling for many-cores using cooperative game theory. DAC 2016: 133:1-133:6 - [c121]Jörg Henkel, Santiago Pagani, Heba Khdr, Florian Kriebel, Semeen Rehman, Muhammad Shafique:
Towards performance and reliability-efficient computing in the dark silicon era. DATE 2016: 1-6 - [c120]Anuj Pathania, Vanchinathan Venkataramani, Muhammad Shafique, Tulika Mitra, Jörg Henkel:
Distributed fair scheduling for many-cores. DATE 2016: 379-384 - [c119]Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Formal probabilistic analysis of distributed resource management schemes in on-chip systems. DATE 2016: 930-935 - [c118]Daniel Palomino, Muhammad Shafique, Altamiro Amadeu Susin, Jörg Henkel:
Thermal optimization using adaptive approximate computing for video coding. DATE 2016: 1207-1212 - [c117]Muhammad Usman Karim Khan, Muhammad Shafique, Apratim Gupta, Thomas Schumann, Jörg Henkel:
Power-efficient load-balancing on heterogeneous computing platforms. DATE 2016: 1469-1472 - [c116]Semeen Rehman, Walaa El-Harouni, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Architectural-space exploration of approximate multipliers. ICCAD 2016: 80 - [c115]Muhammad Shafique, Semeen Rehman, Florian Kriebel, Jörg Henkel:
Cross-Layer Reliability Modeling and Optimization: Compiler and Run-Time System Interactions. SCOPES 2016: 2-5 - [e1]Muhammad Shafique, Sander Stuijk, Hyunok Oh, Todor P. Stefanov:
Proceedings of the 14th ACM/IEEE Symposium on Embedded Systems for Real-Time Multimedia, ESTIMedia 2016, Pittsburgh, PA, USA, October 6-7, 2016. ACM 2016, ISBN 978-1-4503-4543-9 [contents] - 2015
- [j11]Muhammad Shafique, Philip Axer, Christoph Borchert, Jian-Jia Chen, Kuan-Hsun Chen, Björn Döbel, Rolf Ernst, Hermann Härtig, Andreas Heinig, Rüdiger Kapitza, Florian Kriebel, Daniel Lohmann, Peter Marwedel, Semeen Rehman, Florian Schmoll, Olaf Spinczyk:
Multi-layer software reliability for unreliable hardware. it Inf. Technol. 57(3): 170-180 (2015) - [j10]Cláudio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A Reconfigurable Hardware Architecture for Fractional Pixel Interpolation in High Efficiency Video Coding. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(2): 238-251 (2015) - [j9]Muhammad Usman Karim Khan, Muhammad Shafique, Lars Bauer, Jörg Henkel:
Multicast FullHD H.264 Intra Video Encoder Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(12): 2049-2053 (2015) - [c114]Xi Zhang, Haris Javaid, Muhammad Shafique, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
ADAPT: An adaptive manycore methodology for software pipelined applications. ASP-DAC 2015: 701-706 - [c113]Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Approximation-aware Multi-Level Cells STT-RAM cache architecture. CASES 2015: 79-88 - [c112]Florian Kriebel, Arun Subramaniyan, Semeen Rehman, Segnon Jean Bruno Ahandagbe, Muhammad Shafique, Jörg Henkel:
R2Cache: Reliability-aware reconfigurable last-level cache architecture for multi-cores. CODES+ISSS 2015: 1-10 - [c111]Mohammad Salehi, Muhammad Shafique, Florian Kriebel, Semeen Rehman, Mohammad Khavari Tavana, Alireza Ejlali, Jörg Henkel:
dsReliM: Power-constrained reliability management in Dark-Silicon many-core chips under process variations. CODES+ISSS 2015: 75-82 - [c110]Santiago Pagani, Muhammad Shafique, Heba Khdr, Jian-Jia Chen, Jörg Henkel:
seBoost: Selective boosting for heterogeneous manycores. CODES+ISSS 2015: 104-113 - [c109]Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
SuperNet: multimode interconnect architecture for manycore chips. DAC 2015: 85:1-85:6 - [c108]Muhammad Shafique, Waqas Ahmad, Rehan Hafiz, Jörg Henkel:
A low latency generic accuracy configurable adder. DAC 2015: 86:1-86:6 - [c107]Muhammad Shafique, Muhammad Usman Karim Khan, Adnan Orcun Tüfek, Jörg Henkel:
EnAAM: energy-efficient anti-aging for on-chip video memories. DAC 2015: 101:1-101:6 - [c106]Jörg Henkel, Heba Khdr, Santiago Pagani, Muhammad Shafique:
New trends in dark silicon. DAC 2015: 119:1-119:6 - [c105]Heba Khdr, Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Thermal constrained resource management for mixed ILP-TLP workloads in dark silicon chips. DAC 2015: 179:1-179:6 - [c104]Dennis Gnad, Muhammad Shafique, Florian Kriebel, Semeen Rehman, Duo Sun, Jörg Henkel:
Hayat: harnessing dark silicon and variability for aging deceleration and balancing. DAC 2015: 180:1-180:6 - [c103]Xi Zhang, Haris Javaid, Muhammad Shafique, Jorgen Peddersen, Jörg Henkel, Sri Parameswaran:
E-pipeline: elastic hardware/software pipelines on a many-core fabric. DATE 2015: 363-368 - [c102]Muhammad Shafique, Dennis Gnad, Siddharth Garg, Jörg Henkel:
Variability-aware dark silicon management in on-chip many-core systems. DATE 2015: 387-392 - [c101]Florian Kriebel, Semeen Rehman, Duo Sun, Pau Vilimelis Aceituno, Muhammad Shafique, Jörg Henkel:
ACSEM: accuracy-configurable fast soft error masking analysis in combinatorial circuits. DATE 2015: 824-829 - [c100]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Power-efficient accelerator allocation in adaptive dark silicon many-core systems. DATE 2015: 916-919 - [c99]Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Formal probabilistic analysis of distributed dynamic thermal management. DATE 2015: 1221-1224 - [c98]Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
Malleable NoC: dark silicon inspired adaptable Network-on-Chip. DATE 2015: 1245-1248 - [c97]Cláudio Machado Diniz, Muhammad Shafique, Felipe Vogel Dalcin, Sergio Bampi, Jörg Henkel:
A deblocking filter hardware architecture for the high efficiency video coding standard. DATE 2015: 1509-1514 - [c96]Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel:
MatEx: efficient transient and peak temperature computation for compact thermal models. DATE 2015: 1515-1520 - [c95]Hyunok Oh, Muhammad Shafique, Todor P. Stefanov, Maurizio Palesi:
Message from the Chairs. ESTIMedia 2015: 1 - [c94]Santiago Pagani, Jian-Jia Chen, Muhammad Shafique, Jörg Henkel:
Thermal-aware power budgeting for dark silicon chips. IGSC 2015: 1-6 - [c93]Muhammad Shafique, Jörg Henkel:
Mitigating the Power Density and Temperature Problems in the Nano-Era. ICCAD 2015: 176-177 - [c92]Jörg Henkel, Muhammad Usman Karim Khan, Muhammad Shafique:
Energy-efficient multimedia systems for high efficiency video coding. ISCAS 2015: 613-616 - [c91]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Hierarchical power budgeting for Dark Silicon chips. ISLPED 2015: 213-218 - [c90]Mohammad Salehi, Mohammad Khavari Tavana, Semeen Rehman, Florian Kriebel, Muhammad Shafique, Alireza Ejlali, Jörg Henkel:
DRVS: Power-efficient reliability management through Dynamic Redundancy and Voltage Scaling under variations. ISLPED 2015: 225-230 - [c89]Anuj Pathania, Santiago Pagani, Muhammad Shafique, Jörg Henkel:
Power management for mobile games on asymmetric multi-cores. ISLPED 2015: 243-248 - [c88]Jörg Henkel, Haseeb Bokhari, Siddharth Garg, Muhammad Usman Karim Khan, Heba Khdr, Florian Kriebel, Ümit Y. Ogras, Sri Parameswaran, Muhammad Shafique:
Dark Silicon: From Computation to Communication. NOCS 2015: 23:1-23:8 - [c87]Shafaq Iqtedar, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Probabilistic Formal Verification Methodology for Decentralized Thermal Management in On-Chip Systems. WETICE 2015: 210-215 - 2014
- [j8]Andreas Herkersdorf, Hananeh Aliee, Michael Engel, Michael Glaß, Christina Gimmler-Dumont, Jörg Henkel, Veit Kleeberger, Michael A. Kochte, Johannes Maximilian Kühn, Daniel Mueller-Gritschneder, Sani R. Nassif, Holm Rauchfuss, Wolfgang Rosenstiel, Ulf Schlichtmann, Muhammad Shafique, Mehdi Baradaran Tahoori, Jürgen Teich, Norbert Wehn, Christian Weis, Hans-Joachim Wunderlich:
Resilience Articulation Point (RAP): Cross-layer dependability modeling for nanometer system-on-chip resilience. Microelectron. Reliab. 54(6-7): 1066-1074 (2014) - [j7]Muhammad Shafique, Lars Bauer, Jörg Henkel:
Adaptive Energy Management for Dynamically Reconfigurable Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(1): 50-63 (2014) - [j6]Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
Energy-Efficient Adaptive Pipelined MPSoCs for Multimedia Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(5): 663-676 (2014) - [j5]Semeen Rehman, Florian Kriebel, Muhammad Shafique, Jörg Henkel:
Reliability-Driven Software Transformations for Unreliable Hardware. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(11): 1597-1610 (2014) - [c86]Muhammad Shafique, Jörg Henkel:
Low power design of the next-generation High Efficiency Video Coding. ASP-DAC 2014: 274-281 - [c85]Santiago Pagani, Heba Khdr, Waqaas Munawar, Jian-Jia Chen, Muhammad Shafique, Minming Li, Jörg Henkel:
TSP: Thermal Safe Power - Efficient power budgeting for many-core systems in dark silicon. CODES+ISSS 2014: 10:1-10:10 - [c84]Muhammad Shafique, Siddharth Garg, Tulika Mitra, Sri Parameswaran, Jörg Henkel:
Dark silicon as a challenge for hardware/software co-design. CODES+ISSS 2014: 13:1-13:10 - [c83]Florian Kriebel, Semeen Rehman, Duo Sun, Muhammad Shafique, Jörg Henkel:
ASER: Adaptive Soft Error Resilience for Reliability-Heterogeneous Processors in the Dark Silicon Era. DAC 2014: 12:1-12:6 - [c82]Jörg Henkel, Lars Bauer, Hongyan Zhang, Semeen Rehman, Muhammad Shafique:
Multi-Layer Dependability: From Microarchitecture to Application Level. DAC 2014: 47:1-47:6 - [c81]Semeen Rehman, Florian Kriebel, Duo Sun, Muhammad Shafique, Jörg Henkel:
dTune: Leveraging Reliable Code Generation for Adaptive Dependability Tuning under Process Variation and Aging-Induced Effects. DAC 2014: 84:1-84:6 - [c80]Haseeb Bokhari, Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
darkNoC: Designing Energy-Efficient Network-on-Chip with Multi-Vt Cells for Dark Silicon. DAC 2014: 161:1-161:6 - [c79]Muhammad Shafique, Siddharth Garg, Jörg Henkel, Diana Marculescu:
The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives. DAC 2014: 185:1-185:6 - [c78]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Software architecture of High Efficiency Video Coding for many-core systems with power-efficient workload balancing. DATE 2014: 1-6 - [c77]Heba Khdr, Thomas Ebi, Muhammad Shafique, Hussam Amrouch, Jörg Henkel:
mDTM: Multi-objective dynamic thermal management for on-chip systems. DATE 2014: 1-6 - [c76]Daniel Palomino, Muhammad Shafique, Hussam Amrouch, Altamiro Amadeu Susin, Jörg Henkel:
hevcDTM: Application-driven Dynamic Thermal Management for High Efficiency Video Coding. DATE 2014: 1-4 - [c75]Semeen Rehman, Florian Kriebel, Muhammad Shafique, Jörg Henkel:
Compiler-driven dynamic reliability management for on-chip systems under variabilities. DATE 2014: 1-4 - [c74]Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
dSVM: Energy-efficient distributed Scratchpad Video Memory Architecture for the next-generation High Efficiency Video Coding. DATE 2014: 1-6 - [c73]Jian-Jia Chen, Muhammad Shafique:
Embedded software reliability for unreliable hardware. EMSOFT 2014: 4:1 - [c72]Cláudio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Run-time accelerator binding for tile-based mixed-grained reconfigurable architectures. FPL 2014: 1-4 - [c71]Syed Ali Asadullah Bukhari, Faiq Khalid Lodhi, Osman Hasan, Muhammad Shafique, Jörg Henkel:
Formal Verification of Distributed Task Migration for Thermal Management in On-Chip Multi-core Systems Using nuXmv. FTSCS 2014: 32-46 - [c70]Felipe Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Energy-efficient architecture for advanced video memory. ICCAD 2014: 132-139 - [c69]Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel:
Power efficient and workload balanced tiling for parallelized high efficiency video coding. ICIP 2014: 1253-1257 - [c68]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
Fast hierarchical intra angular mode selection for high efficiency video coding. ICIP 2014: 3681-3685 - [c67]Waqaas Munawar, Heba Khdr, Santiago Pagani, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Peak Power Management for scheduling real-time tasks on heterogeneous many-core systems. ICPADS 2014: 200-209 - [c66]Daniel Palomino, Muhammad Shafique, Altamiro Amadeu Susin, Jörg Henkel:
TONE: adaptive temperature optimization for the next generation video encoders. ISLPED 2014: 33-38 - [c65]Felipe Martin Sampaio, Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Content-driven memory pressure balancing and video memory power management for parallel high efficiency video coding. ISLPED 2014: 153-158 - [c64]Saad Shoaib, Rehan Hafiz, Muhammad Shafique:
Hardware/Software Co-design of Embedded Real-Time KD-Tree Based Feature Matching Systems. ISVC (2) 2014: 936-945 - 2013
- [b3]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
3D Video Coding for Embedded Devices - Energy Efficient Algorithms and Architectures. Springer 2013, ISBN 978-1-4614-6758-8, pp. I-XIX, 1-204 - [j4]Bruno Boessio Vizzotto, Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Model Predictive Hierarchical Rate Control With Markov Decision Process for Multiview Video Coding. IEEE Trans. Circuits Syst. Video Technol. 23(12): 2090-2104 (2013) - [c63]Amit Kumar Singh, Muhammad Shafique, Akash Kumar, Jörg Henkel:
Mapping on multi/many-core systems: survey of current and emerging trends. DAC 2013: 1:1-1:10 - [c62]Muhammad Shafique, Semeen Rehman, Pau Vilimelis Aceituno, Jörg Henkel:
Exploiting program-level masking and error propagation for constrained reliability optimization. DAC 2013: 17:1-17:9 - [c61]Tuo Li, Muhammad Shafique, Jude Angelo Ambrose, Semeen Rehman, Jörg Henkel, Sri Parameswaran:
RASTER: runtime adaptive spatial/temporal error resiliency for embedded processors. DAC 2013: 62:1-62:7 - [c60]Jörg Henkel, Lars Bauer, Nikil D. Dutt, Puneet Gupta, Sani R. Nassif, Muhammad Shafique, Mehdi Baradaran Tahoori, Norbert Wehn:
Reliable on-chip systems in the nano-era: lessons learnt and future trends. DAC 2013: 99:1-99:10 - [c59]Muhammad Shafique, Benjamin Vogel, Jörg Henkel:
Self-adaptive hybrid dynamic power management for many-core systems. DATE 2013: 51-56 - [c58]Muhammad Usman Karim Khan, Jan Micha Borrmann, Lars Bauer, Muhammad Shafique, Jörg Henkel:
An H.264 Quad-FullHD low-latency intra video encoder. DATE 2013: 115-120 - [c57]Muhammad Usman Karim Khan, Muhammad Shafique, Mateus Grellert, Jörg Henkel:
Hardware-software collaborative complexity reduction scheme for the emerging HEVC intra encoder. DATE 2013: 125-128 - [c56]Felipe Sampaio, Bruno Zatt, Muhammad Shafique, Luciano Volcan Agostini, Sergio Bampi, Jörg Henkel:
Energy-efficient memory hierarchy for motion and disparity estimation in multiview video coding. DATE 2013: 665-670 - [c55]Tuo Li, Muhammad Shafique, Semeen Rehman, Swarnalatha Radhakrishnan, Roshan G. Ragel, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
CSER: HW/SW configurable soft-error resiliency for application specific instruction-set processors. DATE 2013: 707-712 - [c54]Semeen Rehman, Muhammad Shafique, Pau Vilimelis Aceituno, Florian Kriebel, Jian-Jia Chen, Jörg Henkel:
Leveraging variable function resilience for selective software reliability on unreliable hardware. DATE 2013: 1759-1764 - [c53]Muhammad Shafique, Jörg Henkel:
Agent-based distributed power management for kilo-core processors. ICCAD 2013: 153-160 - [c52]Muhammad Ismail, Osman Hasan, Thomas Ebi, Muhammad Shafique, Jörg Henkel:
Formal verification of distributed dynamic thermal management. ICCAD 2013: 248-255 - [c51]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
AMBER: adaptive energy management for on-chip hybrid video memories. ICCAD 2013: 405-412 - [c50]Tuo Li, Muhammad Shafique, Semeen Rehman, Jude Angelo Ambrose, Jörg Henkel, Sri Parameswaran:
DHASER: dynamic heterogeneous adaptation for soft-error resiliency in ASIP-based multi-core systems. ICCAD 2013: 646-653 - [c49]Rana Muhammad Bilal, Rehan Hafiz, Muhammad Shafique, Saad Shoaib, Asim Munawar, Jörg Henkel:
ISOMER: integrated selection, partitioning, and placement methodology for reconfigurable architectures. ICCAD 2013: 755-762 - [c48]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
An adaptive complexity reduction scheme with fast prediction unit decision for HEVC intra encoding. ICIP 2013: 1578-1582 - [c47]Felipe Sampaio, Bruno Zatt, Muhammad Shafique, Luciano Volcan Agostini, Jörg Henkel, Sergio Bampi:
Content-adaptive reference frame compression based on intra-frame prediction for multiview video coding. ICIP 2013: 1831-1835 - [c46]Mateus Grellert, Muhammad Shafique, Muhammad Usman Karim Khan, Luciano Volcan Agostini, Júlio C. B. de Mattos, Jörg Henkel:
An adaptive workload management scheme for HEVC encoding. ICIP 2013: 1850-1854 - [c45]Cláudio Machado Diniz, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
High-throughput interpolation hardware architecture with coarse-grained reconfigurable datapaths for HEVC. ICIP 2013: 2091-2095 - [c44]Muhammad Shafique, Muhammad Usman Karim Khan, Jörg Henkel:
Content-driven adaptive computation offloading for energy-aware hybrid distributed video coding. ISLPED 2013: 106-113 - [c43]Daniel Palomino, Eduardo Cavichioli, Altamiro Amadeu Susin, Luciano Volcan Agostini, Muhammad Shafique, Jörg Henkel:
Fast HEVC intra mode decision algorithm based on new evaluation order in the Coding Tree Block. PCS 2013: 209-212 - [c42]Semeen Rehman, Anas Toma, Florian Kriebel, Muhammad Shafique, Jian-Jia Chen, Jörg Henkel:
Reliable code generation and execution on unreliable hardware under joint functional and timing reliability considerations. IEEE Real-Time and Embedded Technology and Applications Symposium 2013: 273-282 - 2012
- [j3]Maurizio Martina, Muhammad Shafique, Andrey Norkin:
VLSI Circuits, Systems, and Architectures for Advanced Image and Video Compression Standards. VLSI Design 2012: 102585:1-102585:3 (2012) - [c41]Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jörg Henkel:
RAISE: Reliability-Aware Instruction SchEduling for unreliable hardware. ASP-DAC 2012: 671-676 - [c40]Muhammad Usman Karim Khan, Muhammad Shafique, Jörg Henkel:
A hierarchical control scheme for energy quota distribution in hybrid distributed video coding. CODES+ISSS 2012: 483-492 - [c39]Muhammad Shafique, Bruno Zatt, Fabio Leandro Walter, Sergio Bampi, Jörg Henkel:
Adaptive power management of on-chip video memory for multiview video coding. DAC 2012: 866-875 - [c38]Semeen Rehman, Muhammad Shafique, Jörg Henkel:
Instruction scheduling for reliability-aware compilation. DAC 2012: 1292-1300 - [c37]Muhammad Shafique, Bruno Zatt, Semeen Rehman, Florian Kriebel, Jörg Henkel:
Power-efficient error-resiliency for H.264/AVC Context-Adaptive Variable Length Coding. DATE 2012: 697-702 - [c36]Lars Bauer, Artjom Grudnitsky, Muhammad Shafique, Jörg Henkel:
PATS: A Performance Aware Task Scheduler for Runtime Reconfigurable Processors. FCCM 2012: 208-215 - [c35]Bruno Boessio Vizzotto, Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A Model Predictive Controller for Frame-Level Rate Control in Multiview Video Coding. ICME 2012: 485-490 - [c34]Muhammad Shafique, Bruno Zatt, Jörg Henkel:
A complexity reduction scheme with adaptive search direction and mode elimination for multiview video coding. PCS 2012: 105-108 - 2011
- [b2]Muhammad Shafique, Jörg Henkel:
Hardware/Software Architectures for Low-Power Embedded Multimedia Systems. Springer 2011, ISBN 978-1-4419-9691-6, pp. I-XXI, 1-223 - [b1]Muhammad Shafique:
Architectures for adaptive low-power embedded multimedia systems. Karlsruhe Institute of Technology, 2011 - [c33]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Concepts, architectures, and run-time systems for efficient and adaptive reconfigurable processors. AHS 2011: 80-87 - [c32]Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jörg Henkel:
Reliable software for unreliable hardware: embedded code generation aiming at reliability. CODES+ISSS 2011: 237-246 - [c31]Waheed Ahmed, Muhammad Shafique, Lars Bauer, Jörg Henkel:
Adaptive resource management for simultaneous multitasking in mixed-grained reconfigurable multi-core processors. CODES+ISSS 2011: 365-374 - [c30]Bruno Zatt, Muhammad Shafique, Felipe Sampaio, Luciano Volcan Agostini, Sergio Bampi, Jörg Henkel:
Run-time adaptive energy-aware motion and disparity estimation in multiview video coding. DAC 2011: 1026-1031 - [c29]Haris Javaid, Muhammad Shafique, Sri Parameswaran, Jörg Henkel:
Low-power adaptive pipelined MPSoCs for multimedia: an H.264 video encoder case study. DAC 2011: 1032-1037 - [c28]Muhammad Shafique, Lars Bauer, Waheed Ahmed, Jörg Henkel:
Minority-Game-based resource allocation for run-time reconfigurable multi-core processors. DATE 2011: 1261-1266 - [c27]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
Multi-level pipelined parallel hardware architecture for high throughput motion and disparity estimation in Multiview Video Coding. DATE 2011: 1448-1453 - [c26]Waheed Ahmed, Muhammad Shafique, Lars Bauer, Jörg Henkel:
mRTS: Run-time system for reconfigurable processors with multi-grained instruction-set extensions. DATE 2011: 1554-1559 - [c25]Waheed Ahmed, Muhammad Shafique, Lars Bauer, Manuel Hammerich, Jörg Henkel, Jürgen Becker:
Run-Time Resource Allocation for Simultaneous Multi-tasking in Multi-core Reconfigurable Processors. FCCM 2011: 29-32 - [c24]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A low-power memory architecture with application-aware power management for motion & disparity estimation in Multiview Video Coding. ICCAD 2011: 40-47 - [c23]Haris Javaid, Muhammad Shafique, Jörg Henkel, Sri Parameswaran:
System-level application-aware dynamic power management in adaptive pipelined MPSoCs for multimedia. ICCAD 2011: 616-623 - [c22]Muhammad Shafique, Adnan Orcun Tüfek, Jörg Henkel:
A high-throughput parallel hardware architecture for H.264/AVC CAVLC encoding. ICIP 2011: 393-396 - [c21]Semeen Rehman, Muhammad Shafique, Florian Kriebel, Jörg Henkel:
Revc: Computationally Reliable Video Coding on unreliable hardware platforms: A case study on error-tolerant H.264/AVC CAVLC entropy coding. ICIP 2011: 397-400 - [c20]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
A multi-level dynamic complexity reduction scheme for multiview video coding. ICIP 2011: 749-752 - 2010
- [j2]Muhammad Shafique, Lars Bauer, Jörg Henkel:
Optimizing the H.264/AVC Video Encoder Application Structure for Reconfigurable and Application-Specific Platforms. J. Signal Process. Syst. 60(2): 183-210 (2010) - [c19]Ralf König, Lars Bauer, Timo Stripf, Muhammad Shafique, Waheed Ahmed, Jürgen Becker, Jörg Henkel:
KAHRISMA: A novel Hypermorphic Reconfigurable-Instruction-Set Multi-grained-Array architecture. DATE 2010: 819-824 - [c18]Muhammad Shafique, Bastian Molkenthin, Jörg Henkel:
An HVS-based Adaptive Computational Complexity Reduction Scheme for H.264/AVC video encoder using Prognostic Early Mode Exclusion. DATE 2010: 1713-1718 - [c17]Muhammad Shafique, Lars Bauer, Jörg Henkel:
enBudget: A Run-Time Adaptive Predictive Energy-Budgeting scheme for energy-aware Motion Estimation in H.264/MPEG-4 AVC video encoder. DATE 2010: 1725-1730 - [c16]Muhammad Shafique, Lars Bauer, Jörg Henkel:
Selective instruction set muting for energy-aware adaptive processors. ICCAD 2010: 353-360 - [c15]Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel:
An adaptive early skip mode decision scheme for multiview video coding. PCS 2010: 42-45 - [c14]Muhammad Shafique, Bruno Zatt, Sergio Bampi, Jörg Henkel:
Power-aware complexity-scalable multiview video coding for mobile devices. PCS 2010: 350-353
2000 – 2009
- 2009
- [c13]Lars Bauer, Muhammad Shafique, Jörg Henkel:
MinDeg: a performance-guided replacement policy for run-time reconfigurable accelerators. CODES+ISSS 2009: 335-342 - [c12]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Cross-architectural design space exploration tool for reconfigurable processors. DATE 2009: 958-963 - [c11]Muhammad Shafique, Lars Bauer, Jörg Henkel:
A parallel approach for high performance hardware design of intra prediction in H.264/AVC Video Codec. DATE 2009: 1434-1439 - [c10]Lars Bauer, Muhammad Shafique, Jörg Henkel:
RISPP: A run-time adaptive reconfigurable embedded processor. FPL 2009: 725-726 - [c9]Muhammad Shafique, Lars Bauer, Jörg Henkel:
REMiS: Run-time energy minimization scheme in a reconfigurable processor with dynamic power-gated instruction set. ICCAD 2009: 55-62 - [c8]Muhammad Shafique, Bastian Molkenthin, Jörg Henkel:
Non-linear rate control for H.264/AVC video encoder with multiple picture types using image-statistics and motion-based Macroblock Prioritization. ICIP 2009: 3429-3432 - 2008
- [j1]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Efficient Resource Utilization for an Extensible Processor Through Dynamic Instruction Set Adaptation. IEEE Trans. Very Large Scale Integr. Syst. 16(10): 1295-1308 (2008) - [c7]Lars Bauer, Muhammad Shafique, Jörg Henkel:
Run-time instruction set selection in a transmutable embedded processor. DAC 2008: 56-61 - [c6]Lars Bauer, Muhammad Shafique, Stephanie Kreutz, Jörg Henkel:
Run-time System for an Extensible Embedded Processor with Dynamic Instruction Set. DATE 2008: 752-757 - [c5]Lars Bauer, Muhammad Shafique, Jörg Henkel:
A computation- and communication- infrastructure for modular special instructions in a dynamically reconfigurable processor. FPL 2008: 203-208 - [c4]Muhammad Shafique, Lars Bauer, Jörg Henkel:
3-tier dynamically adaptive power-aware motion estimator for h.264/AVC video encoding. ISLPED 2008: 147-152 - 2007
- [c3]Lars Bauer, Muhammad Shafique, Simon Kramer, Jörg Henkel:
RISPP: Rotating Instruction Set Processing Platform. DAC 2007: 791-796 - [c2]Muhammad Shafique, Lars Bauer, Jörg Henkel:
An Optimized Application Architecture of the H.264 Video Encoder for Application Specific Platforms. ESTIMedia 2007: 119-124 - [c1]Lars Bauer, Muhammad Shafique, Dirk Teufel, Jörg Henkel:
A Self-Adaptive Extensible Embedded Processor. SASO 2007: 344-350
Coauthor Index
[j126] [j116] [c277] [c276] [c270] [c268] [c266] [c258] [c257] [i159] [i155] [i148] [i143] [i138] [i133] [i132] [i128] [j114] [j112] [j111] [j109] [j107] [j104] [c247] [c246] [c242] [c241] [i117] [i116] [i114] [i112] [i100] [i95] [i94] [i93] [i92] [i91] [i90] [i86] [i85] [i84] [i82] [i81] [i79] [i78] [j97] [j96] [j90] [c230] [c226] [c219] [i77] [i75] [i67] [j88] [j86] [j81] [j79] [j78] [c218] [c217] [c213] [c211] [c210] [c209] [c208] [c207] [c206] [i57] [i56] [i54] [i53] [i52] [i47] [i44] [i43] [j73] [j71] [j67] [j60] [c196] [c192] [c191] [c190] [c189] [c186] [c185] [c184] [c181] [c178] [i39] [i31] [i27] [j56] [c177] [c176] [c175] [c171] [c169] [c166] [c164] [c163] [c161] [c160] [p6] [p2] [i23] [i22] [i21] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j45] [j41] [c157] [c154] [c153] [c152] [c151] [c147] [c146] [c145] [c143] [c140] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i3] [c137]
[j124] [j121] [i160] [i120] [j110] [c231] [j89] [j80] [c200] [j64] [j59] [c199] [c187] [c180] [c179] [j53] [j49] [j48] [c168] [c167] [p5] [j47] [c158] [c149] [c139] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j23] [j22] [c134] [c133] [c131] [p1] [b4] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [j10] [j9] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [j8] [j7] [j6] [j5] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [b3] [j4] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [b2] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [j2] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Faiq Khalid
aka: Faiq Khalid Lodhi
aka: Faiq Khalid Lodhi
[c273] [c271] [c269] [c265] [c255] [c254] [c253] [c252] [i163] [i156] [i152] [i151] [i150] [i149] [i142] [i139] [i137] [i125] [i124] [i122] [j113] [j109] [j108] [c240] [c239] [i97] [i96] [i83] [i81] [j100] [j99] [c226] [c225] [c222] [c220] [c219] [i75] [i73] [i69] [i67] [i66] [i64] [i63] [j81] [j78] [c214] [c212] [c208] [c204] [c202] [c201] [i50] [i49] [i46] [i44] [j72] [j68] [c198] [c195] [c190] [c188] [c185] [c184] [c183] [c182] [i40] [i35] [i34] [i32] [i31] [i29] [i28] [i26] [c169] [c160] [i23] [i21] [i20] [i17] [i15] [j41] [c147] [c145] [i5] [i3]
[i163] [j113] [j109] [c240] [c239] [i97] [i96] [i83] [j100] [j99] [c226] [c225] [c222] [c220] [i73] [i69] [i67] [i66] [i64] [i63] [c204] [c202] [c201] [i50] [i49] [i46] [j72] [j68] [c198] [c195] [c188] [c185] [c184] [c183] [c182] [i40] [i35] [i34] [i32] [i26] [j52] [i23] [i21] [i17] [c159] [c145] [c138] [i5] [j3]
[j95] [j94] [j87] [c214] [i45] [c186] [i29] [j55] [c175] [c173] [c171] [c170] [c165] [c164] [c163] [c161] [p5] [p3] [p2] [i22] [j41] [c157] [c153] [c151] [c148] [c146] [c144] [c143] [c140] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i2] [i1] [j26] [c134] [c130] [b4] [j21] [j20] [j18] [j15] [j13] [c126] [c123] [c121] [c116] [c115] [j11] [c112] [c111] [c104] [c101] [c90] [j5] [c83] [c82] [c81] [c75] [c62] [c61] [c55] [c54] [c50] [c42] [c41] [c38] [c37] [c32] [c21]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-15 01:15 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
