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2020 – today
- 2025
[j53]Atul Kumar, Siddharth Garg, Soumya Dutta
:
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data. IEEE Trans. Vis. Comput. Graph. 31(1): 1343-1353 (2025)- 2024
- [j52]Kang Liu, Di Wu, Yangyu Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg:
Manipulation Attacks on Learned Image Compression. IEEE Trans. Artif. Intell. 5(6): 3083-3097 (2024) - [j51]Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Privacy-Preserving Collaborative Learning Through Feature Extraction. IEEE Trans. Dependable Secur. Comput. 21(1): 486-498 (2024) - [j50]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. Trans. Mach. Learn. Res. 2024 (2024) - [j49]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Split Computing With Scalable Feature Compression for Visual Analytics on the Edge. IEEE Trans. Multim. 26: 10121-10133 (2024) - [j48]Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg:
VeriGen: A Large Language Model for Verilog Code Generation. ACM Trans. Design Autom. Electr. Syst. 29(3): 46:1-46:31 (2024) - [c110]Alhad Daftardar, Brandon Reagen, Siddharth Garg:
SZKP: A Scalable Accelerator Architecture for Zero-Knowledge Proofs. PACT 2024: 271-283 - [c109]Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. AISTATS 2024: 4051-4059 - [c108]Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. ICLR 2024 - [c107]Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
LipSim: A Provably Robust Perceptual Similarity Metric. ICLR 2024 - [c106]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. ICLR 2024 - [c105]Andre Nakkab, Sai Qian Zhang, Ramesh Karri, Siddharth Garg:
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. MLCAD 2024: 26:1-26:11 - [c104]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 - [c103]Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Neural Compress-and-Forward for the Relay Channel. SPAWC 2024: 366-370 - [c102]Fabrizio Carpi, Soheil Rostami, Joonyoung Cho, Siddharth Garg, Elza Erkip, Charlie Jianzhong Zhang:
Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM. SPAWC 2024: 406-410 - [e2]Hussam Amrouch, Jiang Hu, Siddharth Garg, Yibo Lin:
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, MLCAD 2024, Salt Lake City, UT, USA, September 9-11, 2024. ACM 2024, ISBN 979-8-4007-0699-8 [contents] - [i99]Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. CoRR abs/2401.12205 (2024) - [i98]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. CoRR abs/2401.14033 (2024) - [i97]Matthew DeLorenzo, Animesh Basak Chowdhury, Vasudev Gohil, Shailja Thakur, Ramesh Karri, Siddharth Garg, Jeyavijayan Rajendran:
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS. CoRR abs/2402.03289 (2024) - [i96]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) - [i95]Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. CoRR abs/2402.16926 (2024) - [i94]Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Neural Compress-and-Forward for the Relay Channel. CoRR abs/2404.14594 (2024) - [i93]Fabrizio Carpi, Soheil Rostami, Joonyoung Cho, Siddharth Garg, Elza Erkip, Charlie Jianzhong Zhang:
Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM. CoRR abs/2404.16137 (2024) - [i92]Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce:
Evaluating LLMs for Hardware Design and Test. CoRR abs/2405.02326 (2024) - [i91]Ezgi Özyilkan, Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Learning-Based Compress-and-Forward Schemes for the Relay Channel. CoRR abs/2405.09534 (2024) - [i90]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) - [i89]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) - [i88]Luca Collini, Siddharth Garg, Ramesh Karri:
C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap? CoRR abs/2406.09233 (2024) - [i87]Jitendra Bhandari, Johann Knechtel, Ramesh Narayanaswamy, Siddharth Garg, Ramesh Karri:
LLM-Aided Testbench Generation and Bug Detection for Finite-State Machines. CoRR abs/2406.17132 (2024) - [i86]Jitendra Bhandari, Animesh Basak Chowdhury, Mohammed Nabeel, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri, Johann Knechtel:
ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search. CoRR abs/2406.19549 (2024) - [i85]Atul Kumar, Siddharth Garg, Soumya Dutta:
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data. CoRR abs/2407.16119 (2024) - [i84]Andre Nakkab, Sai Qian Zhang, Ramesh Karri, Siddharth Garg:
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. CoRR abs/2407.18276 (2024) - [i83]Alhad Daftardar, Brandon Reagen, Siddharth Garg:
SZKP: A Scalable Accelerator Architecture for Zero-Knowledge Proofs. CoRR abs/2408.05890 (2024) - [i82]Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
EMMA: Efficient Visual Alignment in Multi-Modal LLMs. CoRR abs/2410.02080 (2024) - [i81]Jason Blocklove, Shailja Thakur, Benjamin Tan, Hammond Pearce, Siddharth Garg, Ramesh Karri:
Can EDA Tool Feedback Improve Verilog Generation by LLMs? CoRR abs/2411.11856 (2024) - [i80]Jitendra Bhandari, Vineet Bhat, Yuheng He, Siddharth Garg, Hamed Rahmani, Ramesh Karri:
Masala-CHAI: A Large-Scale SPICE Netlist Dataset for Analog Circuits by Harnessing AI. CoRR abs/2411.14299 (2024) - [i79]Luca Collini, Siddharth Garg, Ramesh Karri:
C2HLSC: Leveraging Large Language Models to Bridge the Software-to-Hardware Design Gap. CoRR abs/2412.00214 (2024) - [i78]Patrick Yubeaton, Jianqiao Mo, Karthik Garimella, Nandan Kumar Jha, Brandon Reagen, Chinmay Hegde, Siddharth Garg:
TruncFormer: Private LLM Inference Using Only Truncations. CoRR abs/2412.01042 (2024) - [i77]Weihua Xiao, Venkata Sai Charan Putrevu, Raghu Vamshi Hemadri, Siddharth Garg, Ramesh Karri:
PrefixLLM: LLM-aided Prefix Circuit Design. CoRR abs/2412.02594 (2024) - [i76]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Out-of-Distribution Detection with Overlap Index. CoRR abs/2412.06168 (2024) - [i75]Sara Ghazanfari, Siddharth Garg, Nicolas Flammarion, Prashanth Krishnamurthy, Farshad Khorrami, Francesco Croce:
Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics. CoRR abs/2412.10594 (2024) - 2023
- [j47]Christian Pilato, Luca Collini, Luca Cassano, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
Optimizing the Use of Behavioral Locking for High-Level Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 462-472 (2023) - [j46]Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg:
Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(8): 2580-2590 (2023) - [j45]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection. IEEE Trans. Inf. Forensics Secur. 18: 4668-4680 (2023) - [j44]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. Trans. Mach. Learn. Res. 2023 (2023) - [c101]Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen:
Characterizing and Optimizing End-to-End Systems for Private Inference. ASPLOS (3) 2023: 89-104 - [c100]Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu:
Special Session: Machine Learning for Embedded System Design. CODES+ISSS 2023: 28-37 - [c99]Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan:
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. DAC 2023: 1-6 - [c98]Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Benchmarking Large Language Models for Automated Verilog RTL Code Generation. DATE 2023: 1-6 - [c97]Fabrizio Carpi, Sivarama Venkatesan, Jinfeng Du, Harish Viswanathan, Siddharth Garg, Elza Erkip:
Precoding-oriented Massive MIMO CSI Feedback Design. ICC 2023: 4973-4978 - [c96]Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg:
Invited Paper: Towards the Imagenets of ML4EDA. ICCAD 2023: 1-7 - [c95]Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti:
Path Planning Under Uncertainty to Localize mmWave Sources. ICRA 2023: 3461-3467 - [c94]Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce:
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. MLCAD 2023: 1-6 - [c93]Animesh Basak Chowdhury, Jitendra Bhandari, Luca Collini, Ramesh Karri, Benjamin Tan, Siddharth Garg:
ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations. MLCAD 2023: 1-6 - [c92]Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu:
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models. NeurIPS 2023 - [c91]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou:
Towards better certified segmentation via diffusion models. UAI 2023: 1185-1195 - [c90]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt:
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants. USENIX Security Symposium 2023: 2205-2222 - [c89]Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt:
Can Deepfakes be created on a whim? WWW (Companion Volume) 2023: 1324-1334 - [d2]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt:
Lost at C: Data from the Security-focused User Study. Version 0.2. Zenodo, 2023 [all versions]
- [i74]Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. CoRR abs/2302.01385 (2023) - [i73]Federica Granese, Marco Romanelli, Siddharth Garg, Pablo Piantanida:
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection. CoRR abs/2302.02216 (2023) - [i72]Fabrizio Carpi, Sivarama Venkatesan, Jinfeng Du, Harish Viswanathan, Siddharth Garg, Elza Erkip:
Precoding-oriented Massive MIMO CSI Feedback Design. CoRR abs/2302.11526 (2023) - [i71]Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan:
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. CoRR abs/2303.03372 (2023) - [i70]Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti:
Path Planning Under Uncertainty to Localize mmWave Sources. CoRR abs/2303.03739 (2023) - [i69]Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt:
Can deepfakes be created by novice users? CoRR abs/2304.14576 (2023) - [i68]Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg:
INVICTUS: Optimizing Boolean Logic Circuit Synthesis via Synergistic Learning and Search. CoRR abs/2305.13164 (2023) - [i67]Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce:
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. CoRR abs/2305.13243 (2023) - [i66]Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou:
Towards Better Certified Segmentation via Diffusion Models. CoRR abs/2306.09949 (2023) - [i65]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection. CoRR abs/2307.05422 (2023) - [i64]Sara Ghazanfari, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Alexandre Araujo:
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric. CoRR abs/2307.15157 (2023) - [i63]Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg:
VeriGen: A Large Language Model for Verilog Code Generation. CoRR abs/2308.00708 (2023) - [i62]Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
PriViT: Vision Transformers for Fast Private Inference. CoRR abs/2310.04604 (2023) - [i61]Akshaj Kumar Veldanda, Fabian Grob, Shailja Thakur, Hammond Pearce, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT. CoRR abs/2310.05135 (2023) - [i60]Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg:
Towards the Imagenets of ML4EDA. CoRR abs/2310.10560 (2023) - [i59]Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg:
LipSim: A Provably Robust Perceptual Similarity Metric. CoRR abs/2310.18274 (2023) - [i58]Shailja Thakur, Jason Blocklove, Hammond Pearce, Benjamin Tan, Siddharth Garg, Ramesh Karri:
AutoChip: Automating HDL Generation Using LLM Feedback. CoRR abs/2311.04887 (2023) - 2022
- [j43]Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
A Feature-Based On-Line Detector to Remove Adversarial-Backdoors by Iterative Demarcation. IEEE Access 10: 5545-5558 (2022) - [j42]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20(5): 22-34 (2022) - [j41]Yier Jin, Tsung-Yi Ho, Stjepan Picek, Siddharth Garg:
Guest Editorial: Trustworthy AI. ACM J. Emerg. Technol. Comput. Syst. 18(3): 55:1-55:3 (2022) - [j40]Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan:
Millimeter Wave Wireless Assisted Robot Navigation With Link State Classification. IEEE Open J. Commun. Soc. 3: 493-507 (2022) - [j39]Animesh Basak Chowdhury, Benjamin Tan, Siddharth Garg, Ramesh Karri:
Robust Deep Learning for IC Test Problems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 183-195 (2022) - [j38]Naman Patel, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Overriding Autonomous Driving Systems Using Adaptive Adversarial Billboards. IEEE Trans. Intell. Transp. Syst. 23(8): 11386-11396 (2022) - [c88]Mohamed El Massad, Nahid Juma, Jonathan Shahen, Mariana Raykova, Siddharth Garg, Mahesh Tripunitara:
Locked Circuit Indistinguishability: A Notion of Security for Logic Locking. CSF 2022: 455-470 - [c87]Christian Pilato, Donatella Sciuto, Benjamin Tan, Siddharth Garg, Ramesh Karri:
High-level design methods for hardware security: is it the right choice? invited. DAC 2022: 1375-1378 - [c86]Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. ICML 2022: 3947-3961 - [c85]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Feature Compression for Rate Constrained Object Detection on the Edge. MIPR 2022: 1-6 - [p1]Christian Pilato, Donatella Sciuto, Francesco Regazzoni, Siddharth Garg, Ramesh Karri:
Protecting Hardware IP Cores During High-Level Synthesis. Behavioral Synthesis for Hardware Security 2022: 95-115 - [d1]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Siddharth Garg, Brendan Dolan-Gavitt:
Lost at C: Data from the Security-focused User Study. Version 0.1. Zenodo, 2022 [all versions] - [i57]Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. CoRR abs/2202.02340 (2022) - [i56]Animesh Basak Chowdhury, Benjamin Tan, Ryan Carey, Tushit Jain, Ramesh Karri, Siddharth Garg:
Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis. CoRR abs/2204.02368 (2022) - [i55]Zhongzheng Yuan, Samyak Rawlekar, Siddharth Garg, Elza Erkip, Yao Wang:
Feature Compression for Rate Constrained Object Detection on the Edge. CoRR abs/2204.07314 (2022) - [i54]Kang Liu, Di Wu, Yiru Wang, Dan Feng, Benjamin Tan, Siddharth Garg:
Denial-of-Service Attacks on Learned Image Compression. CoRR abs/2205.13253 (2022) - [i53]Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. CoRR abs/2206.14853 (2022) - [i52]Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen:
Characterizing and Optimizing End-to-End Systems for Private Inference. CoRR abs/2207.07177 (2022) - [i51]Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Security Implications of Large Language Model Code Assistants: A User Study. CoRR abs/2208.09727 (2022) - [i50]Alireza Sarmadi, Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Privacy-Preserving Collaborative Learning through Feature Extraction. CoRR abs/2212.06322 (2022) - [i49]Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
An Upper Bound for the Distribution Overlap Index and Its Applications. CoRR abs/2212.08701 (2022) - [i48]Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Benchmarking Large Language Models for Automated Verilog RTL Code Generation. CoRR abs/2212.11140 (2022) - 2021
- [j37]Shivam Bhasin, Siddharth Garg, Francesco Regazzoni:
Special Section on Attacking and Protecting Artificial Intelligence. CAAI Trans. Intell. Technol. 6(1): 1-2 (2021) - [j36]Siddharth Garg, Daniel E. Holcomb, Jeyavijayan (JV) Rajendran, Ahmad-Reza Sadeghi:
Guest Editors' Introduction: Competing to Secure SoCs. IEEE Des. Test 38(1): 5-6 (2021) - [j35]Gauri Jagatap, Ameya Joshi, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. Frontiers Artif. Intell. 4: 780843 (2021) - [j34]Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Correlated Graph Matching. IEEE J. Sel. Areas Inf. Theory 2(1): 338-351 (2021) - [j33]Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Training Data Poisoning in ML-CAD: Backdooring DL-Based Lithographic Hotspot Detectors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1244-1257 (2021) - [j32]Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri:
Bias Busters: Robustifying DL-Based Lithographic Hotspot Detectors Against Backdooring Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(10): 2077-2089 (2021) - [j31]Christian Pilato, Animesh Basak Chowdhury, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
ASSURE: RTL Locking Against an Untrusted Foundry. IEEE Trans. Very Large Scale Integr. Syst. 29(7): 1306-1318 (2021) - [c84]Kang Liu, Benjamin Tan, Siddharth Garg:
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. AAAI 2021: 14849-14856 - [c83]Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young:
Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. ASP-DAC 2021: 885-891 - [c82]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Catching BadNets in the Wild. AISec@CCS 2021: 49-60 - [c81]Nimisha Limaye, Animesh Basak Chowdhury, Christian Pilato, Mohammed Thari Nabeel, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri:
Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks. DAC 2021: 91-96 - [c80]Benjamin Tan, Siddharth Garg, Ramesh Karri, Yuntao Liu, Michael Zuzak, Abhisek Chakraborty, Ankur Srivastava, Omid Aramoon, Qian Xu, Gang Qu, Adam A. Porter, Jeno Szep, Warren Savage:
Invited: Independent Verification and Validation of Security-Aware EDA Tools and IP. DAC 2021: 1299-1302 - [c79]Shubham Rai, Siddharth Garg, Christian Pilato, Vladimir Herdt, Elmira Moussavi, Dominik Sisejkovic, Ramesh Karri, Rolf Drechsler, Farhad Merchant, Akash Kumar:
Vertical IP Protection of the Next-Generation Devices: Quo Vadis? DATE 2021: 1905-1914 - [c78]Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
DeepReDuce: ReLU Reduction for Fast Private Inference. ICML 2021: 4839-4849 - [c77]Mahshad Shariatnasab, Farhad Shirani, Siddharth Garg, Elza Erkip:
On Graph Matching Using Generalized Seed Side-Information. ISIT 2021: 2726-2731 - [c76]Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. IV 2021: 157-164 - [c75]Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg:
Circa: Stochastic ReLUs for Private Deep Learning. NeurIPS 2021: 2241-2252 - [c74]Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Single-Shot Compression for Hypothesis Testing. SPAWC 2021: 176-180 - [i47]Mahshad Shariatnasab, Farhad Shirani, Siddharth Garg, Elza Erkip:
On Graph Matching Using Generalized Seed Side-Information. CoRR abs/2102.06267 (2021) - [i46]Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
DeepReDuce: ReLU Reduction for Fast Private Inference. CoRR abs/2103.01396 (2021) - [i45]Zahra Ghodsi, Siva Kumar Sastry Hari, Iuri Frosio, Timothy Tsai, Alejandro J. Troccoli, Stephen W. Keckler, Siddharth Garg, Anima Anandkumar:
Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles. CoRR abs/2103.07403 (2021) - [i44]Christian Pilato, Luca Collini, Luca Cassano, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
On the Optimization of Behavioral Logic Locking for High-Level Synthesis. CoRR abs/2105.09666 (2021) - [i43]Zahra Ghodsi, Nandan Kumar Jha, Brandon Reagen, Siddharth Garg:
Circa: Stochastic ReLUs for Private Deep Learning. CoRR abs/2106.08475 (2021) - [i42]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR abs/2106.11755 (2021) - [i41]Fabrizio Carpi, Siddharth Garg, Elza Erkip:
Single-Shot Compression for Hypothesis Testing. CoRR abs/2107.09778 (2021) - [i40]Animesh Basak Chowdhury, Benjamin Tan, Ramesh Karri, Siddharth Garg:
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis. CoRR abs/2110.11292 (2021) - [i39]Mingsheng Yin, Akshaj Kumar Veldanda, Amee Trivedi, Jeff Zhang, Kai Pfeiffer, Yaqi Hu, Siddharth Garg, Elza Erkip, Ludovic Righetti, Sundeep Rangan:
Millimeter Wave Wireless-Assisted Robotic Navigation with Link State Classification. CoRR abs/2110.14789 (2021) - [i38]Karthik Garimella, Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen:
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale. CoRR abs/2111.02583 (2021) - 2020
- [j30]Jeff Zhang, Zahra Ghodsi, Siddharth Garg, Kartheek Rangineni:
Enabling Timing Error Resilience for Low-Power Systolic-Array Based Deep Learning Accelerators. IEEE Des. Test 37(2): 93-102 (2020) - [j29]Maria I. Mera Collantes, Siddharth Garg:
Do Not Trust, Verify: A Verifiable Hardware Accelerator for Matrix Multiplication. IEEE Embed. Syst. Lett. 12(3): 70-73 (2020) - [j28]Mohamed El Massad, Siddharth Garg, Mahesh V. Tripunitara:
The SAT Attack on IC Camouflaging: Impact and Potential Countermeasures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(8): 1577-1590 (2020) - [j27]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection. ACM Trans. Design Autom. Electr. Syst. 25(5): 48:1-48:31 (2020) - [c73]Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg:
Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots. DATE 2020: 306-309 - [c72]Chandan Karfa, Ramanuj Chouksey, Christian Pilato, Siddharth Garg, Ramesh Karri:
Is Register Transfer Level Locking Secure? DATE 2020: 550-555 - [c71]Jiho Park, Virinchi Roy Surabhi, Prashanth Krishnamurthy, Siddharth Garg, Ramesh Karri, Farshad Khorrami:
Anomaly Detection in Embedded Systems Using Power and Memory Side Channels. ETS 2020: 1-2 - [c70]Jeff Zhang, Sameh Elnikety, Shuayb Zarar, Atul Gupta, Siddharth Garg:
Model-Switching: Dealing with Fluctuating Workloads in Machine-Learning-as-a-Service Systems. HotCloud 2020 - [c69]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. NeurIPS 2020 - [c68]Maria I. Mera Collantes, Zahra Ghodsi, Siddharth Garg:
SafeTPU: A Verifiably Secure Hardware Accelerator for Deep Neural Networks. VTS 2020: 1-6 - [i37]Farhad Shirani, Siddharth Garg, Elza Erkip:
On the Joint Typicality of Permutations of Sequences of Random Variables. CoRR abs/2001.06962 (2020) - [i36]Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs. CoRR abs/2002.08313 (2020) - [i35]Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri:
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks. CoRR abs/2004.12492 (2020) - [i34]Zahra Ghodsi, Akshaj Kumar Veldanda, Brandon Reagen, Siddharth Garg:
CryptoNAS: Private Inference on a ReLU Budget. CoRR abs/2006.08733 (2020) - [i33]Gauri Jagatap, Animesh Basak Chowdhury, Siddharth Garg, Chinmay Hegde:
Adversarially Robust Learning via Entropic Regularization. CoRR abs/2008.12338 (2020) - [i32]Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Correlated Graph Matching. CoRR abs/2009.00467 (2020) - [i31]Kang Liu, Benjamin Tan, Siddharth Garg:
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. CoRR abs/2009.09283 (2020) - [i30]Christian Pilato, Animesh Basak Chowdhury, Donatella Sciuto, Siddharth Garg, Ramesh Karri:
ASSURE: RTL Locking Against an Untrusted Foundry. CoRR abs/2010.05344 (2020) - [i29]Akshaj Kumar Veldanda, Siddharth Garg:
On Evaluating Neural Network Backdoor Defenses. CoRR abs/2010.12186 (2020) - [i28]Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection. CoRR abs/2011.02526 (2020) - [i27]Naman Patel, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Bait and Switch: Online Training Data Poisoning of Autonomous Driving Systems. CoRR abs/2011.04065 (2020)
2010 – 2019
- 2019
- [j26]Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg:
BadNets: Evaluating Backdooring Attacks on Deep Neural Networks. IEEE Access 7: 47230-47244 (2019) - [j25]Jeff Jun Zhang, Kanad Basu, Siddharth Garg:
Fault-Tolerant Systolic Array Based Accelerators for Deep Neural Network Execution. IEEE Des. Test 36(5): 44-53 (2019) - [j24]Xiaotong Cui, Jeff Jun Zhang, Kaijie Wu, Siddharth Garg, Ramesh Karri:
Split Manufacturing-Based Register Transfer-Level Obfuscation. ACM J. Emerg. Technol. Comput. Syst. 15(1): 11:1-11:22 (2019) - [j23]Christian Pilato, Kaijie Wu, Siddharth Garg, Ramesh Karri, Francesco Regazzoni:
TaintHLS: High-Level Synthesis for Dynamic Information Flow Tracking. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(5): 798-808 (2019) - [j22]Jeff Jun Zhang, Parul Raj, Shuayb Zarar, Amol Ambardekar, Siddharth Garg:
CompAct: On-chip <underline>Com</underline>pression of <underline>Act</underline>ivations for Low Power Systolic Array Based CNN Acceleration. ACM Trans. Embed. Comput. Syst. 18(5s): 47:1-47:24 (2019) - [c67]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 - [c66]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 - [c65]Naman Patel, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami:
Adaptive Adversarial Videos on Roadside Billboards: Dynamically Modifying Trajectories of Autonomous Vehicles. IROS 2019: 5916-5921 - [c64]Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Database De-anonymization. ISIT 2019: 2748-2752 - [i26]Farhad Shirani, Siddharth Garg, Elza Erkip:
A Concentration of Measure Approach to Database De-anonymization. CoRR abs/1901.07655 (2019) - [i25]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. CoRR abs/1906.10773 (2019) - 2018
- [j21]Siddharth Garg:
Chapter Five - Dynamic Power Management for Dark Silicon Multicore Processors☆. Adv. Comput. 110: 171-216 (2018) - [j20]Christian Pilato, Siddharth Garg, Kaijie Wu, Ramesh Karri, Francesco Regazzoni:
Securing Hardware Accelerators: A New Challenge for High-Level Synthesis. IEEE Embed. Syst. Lett. 10(3): 77-80 (2018) - [c63]Farhad Shirani, Siddharth Garg, Elza Erkip:
Matching Graphs with Community Structure: A Concentration of Measure Approach. Allerton 2018: 1028-1035 - [c62]Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg:
Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators. DAC 2018: 19:1-19:6 - [c61]Christian Pilato, Francesco Regazzoni, Ramesh Karri, Siddharth Garg:
TAO: techniques for algorithm-level obfuscation during high-level synthesis. DAC 2018: 155:1-155:6 - [c60]Jeff Jun Zhang, Siddharth Garg:
FATE: fast and accurate timing error prediction framework for low power DNN accelerator design. ICCAD 2018: 24 - [c59]Farhad Shirani, Siddharth Garg, Elza Erkip:
Typicality Matching for Pairs of Correlated Graphs. ISIT 2018: 221-225 - [c58]Farhad Shirani, Siddharth Garg, Elza Erkip:
Optimal Active social Network De-anonymization Using Information Thresholds. ISIT 2018: 1445-1449 - [c57]Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg:
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. RAID 2018: 273-294 - [c56]Ro Cammarota, Naghmeh Karimi, Siddharth Garg, Jeyavijayan Rajendran:
Special session: Recent developments in hardware security. VTS 2018: 1 - [c55]Jeff Jun Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg:
Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator. VTS 2018: 1-6 - [i24]Farhad Shirani, Siddharth Garg, Elza Erkip:
Optimal Active Social Network De-anonymization Using Information Thresholds. CoRR abs/1801.06498 (2018) - [i23]Farhad Shirani, Siddharth Garg, Elza Erkip:
Typicality Matching for Pairs of Correlated Graphs. CoRR abs/1802.00918 (2018) - [i22]Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg:
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators. CoRR abs/1802.03806 (2018) - [i21]Jeff Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg:
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator. CoRR abs/1802.04657 (2018) - [i20]Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg:
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. CoRR abs/1805.12185 (2018) - [i19]Jeff Zhang, Siddharth Garg:
FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design. CoRR abs/1807.00480 (2018) - [i18]Farhad Shirani, Siddharth Garg, Elza Erkip:
Matching Graphs with Community Structure: A Concentration of Measure Approach. CoRR abs/1810.13347 (2018) - [i17]Siddharth Garg, Zahra Ghodsi, Carmit Hazay, Yuval Ishai, Antonio Marcedone, Muthuramakrishnan Venkitasubramaniam:
Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation. CoRR abs/1812.01372 (2018) - [i16]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) - 2017
- [j19]Muhammad Shafique, Siddharth Garg, Vikas Chandra:
Guest Editors' Introduction: Computing in the Dark Silicon Era. IEEE Des. Test 34(2): 5-7 (2017) - [j18]Muhammad Shafique, Siddharth Garg:
Computing in the Dark Silicon Era: Current Trends and Research Challenges. IEEE Des. Test 34(2): 8-23 (2017) - [j17]Yatish Turakhia, Guangshuo Liu, Siddharth Garg, Diana Marculescu:
Thread Progress Equalization: Dynamically Adaptive Power-Constrained Performance Optimization of Multi-Threaded Applications. IEEE Trans. Computers 66(4): 731-744 (2017) - [c54]Farhad Shirani, Siddharth Garg, Elza Erkip:
Seeded graph matching: Efficient algorithms and theoretical guarantees. ACSSC 2017: 253-257 - [c53]Farhad Shirani, Siddharth Garg, Elza Erkip:
An information theoretic framework for active de-anonymization in social networks based on group memberships. Allerton 2017: 470-477 - [c52]Jeff Jun Zhang, Siddharth Garg:
BandiTS: Dynamic timing speculation using multi-armed bandit based optimization. DATE 2017: 922-925 - [c51]Siddharth Garg:
Inspiring trust in outsourced integrated circuit fabrication. DATE 2017: 1128 - [c50]Mohamed El Massad, Frank Imeson, Siddharth Garg, Mahesh Tripunitara:
The Need for Declarative Properties in Digital IC Security. ACM Great Lakes Symposium on VLSI 2017: 333-338 - [c49]Mohamed El Massad, Siddharth Garg, Mahesh Tripunitara:
Reverse engineering camouflaged sequential circuits without scan access. ICCAD 2017: 33-40 - [c48]Abhrajit Sengupta, Satwik Patnaik, Johann Knechtel, Mohammed Ashraf, Siddharth Garg, Ozgur Sinanoglu:
Rethinking split manufacturing: An information-theoretic approach with secure layout techniques. ICCAD 2017: 329-326 - [c47]Zahra Ghodsi, Siddharth Garg, Ramesh Karri:
Optimal checkpointing for secure intermittently-powered IoT devices. ICCAD 2017: 376-383 - [c46]Zahra Ghodsi, Tianyu Gu, Siddharth Garg:
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud. NIPS 2017: 4672-4681 - [i15]Mohamed El Massad, Jun Zhang, Siddharth Garg, Mahesh V. Tripunitara:
Logic Locking for Secure Outsourced Chip Fabrication: A New Attack and Provably Secure Defense Mechanism. CoRR abs/1703.10187 (2017) - [i14]Yury Dvorkin, Siddharth Garg:
IoT-enabled Distributed Cyber-attacks on Transmission and Distribution Grids. CoRR abs/1706.07485 (2017) - [i13]Zahra Ghodsi, Tianyu Gu, Siddharth Garg:
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud. CoRR abs/1706.10268 (2017) - [i12]Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg:
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain. CoRR abs/1708.06733 (2017) - [i11]Abhrajit Sengupta, Satwik Patnaik, Johann Knechtel, Mohammed Ashraf, Siddharth Garg, Ozgur Sinanoglu:
Rethinking Split Manufacturing: An Information-Theoretic Approach with Secure Layout Techniques. CoRR abs/1710.02026 (2017) - [i10]Farhad Shirani, Siddharth Garg, Elza Erkip:
An Information Theoretic Framework for Active De-anonymization in Social Networks Based on Group Memberships. CoRR abs/1710.04163 (2017) - [i9]Mohamed El Massad, Siddharth Garg, Mahesh Tripunitara:
Reverse Engineering Camouflaged Sequential Integrated Circuits Without Scan Access. CoRR abs/1710.10474 (2017) - [i8]Zahra Ghodsi, Siddharth Garg, Ramesh Karri:
Optimal Checkpointing for Secure Intermittently-Powered IoT Devices. CoRR abs/1711.01454 (2017) - [i7]Farhad Shirani, Siddharth Garg, Elza Erkip:
Seeded Graph Matching: Efficient Algorithms and Theoretical Guarantees. CoRR abs/1711.10360 (2017) - 2016
- [j16]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) - [j15]Ashish Ranjan Hota, Siddharth Garg, Shreyas Sundaram:
Fragility of the commons under prospect-theoretic risk attitudes. Games Econ. Behav. 98: 135-164 (2016) - [j14]Ermao Cai, Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu:
Learning-Based Power/Performance Optimization for Many-Core Systems With Extended-Range Voltage/Frequency Scaling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(8): 1318-1331 (2016) - [j13]Dariush Fooladivanda, Catherine Rosenberg, Siddharth Garg:
Energy Storage and Regulation: An Analysis. IEEE Trans. Smart Grid 7(4): 1813-1823 (2016) - [c45]Efe Onaran, Siddharth Garg, Elza Erkip:
Optimal de-anonymization in random graphs with community structure. ACSSC 2016: 709-713 - [c44]Atif Yasin, Jeff Jun Zhang, Hu Chen, Siddharth Garg, Sanghamitra Roy, Koushik Chakraborty:
Synergistic timing speculation for multi-threaded programs. DAC 2016: 51:1-51:6 - [c43]Xiaotong Cui, Kaijie Wu, Siddharth Garg, Ramesh Karri:
Can flexible, domain specific programmable logic prevent IP theft? DFT 2016: 153-157 - [c42]Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram:
Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. ICCD 2016: 241-248 - [c41]Maria I. Mera Collantes, Mohamed El Massad, Siddharth Garg:
Threshold-Dependent Camouflaged Cells to Secure Circuits Against Reverse Engineering Attacks. ISVLSI 2016: 443-448 - [c40]Efe Onaran, Siddharth Garg, Elza Erkip:
Optimal de-anonymization in random graphs with community structure. Sarnoff Symposium 2016: 1-2 - [c39]Riad S. Wahby, Max Howald, Siddharth Garg, Abhi Shelat, Michael Walfish:
Verifiable ASICs. IEEE Symposium on Security and Privacy 2016: 759-778 - [c38]Frank Imeson, Saeed Nejati, Siddharth Garg, Mahesh V. Tripunitara:
Non-Deterministic Timers for Hardware Trojan Activation (or How a Little Randomness Can Go the Wrong Way). WOOT 2016 - [i6]Efe Onaran, Siddharth Garg, Elza Erkip:
Optimal De-Anonymization in Random Graphs with Community Structure. CoRR abs/1602.01409 (2016) - [i5]Yatish Turakhia, Guangshuo Liu, Siddharth Garg, Diana Marculescu:
Thread Progress Equalization: Dynamically Adaptive Power and Performance Optimization of Multi-threaded Applications. CoRR abs/1603.06346 (2016) - [i4]Maria I. Mera Collantes, Mohamed El Massad, Siddharth Garg:
Threshold-Dependent Camouflaged Cells to Secure Circuits Against Reverse Engineering Attacks. CoRR abs/1605.00684 (2016) - 2015
- [c37]Muhammad Shafique, Dennis Gnad, Siddharth Garg, Jörg Henkel:
Variability-aware dark silicon management in on-chip many-core systems. DATE 2015: 387-392 - [c36]Paul Bogdan, Siddharth Garg, Ümit Y. Ogras:
Energy-efficient computing from systems-on-chip to micro-server and data centers. IGSC 2015: 1-6 - [c35]Sankalp Jain, Harshad Navale, Ümit Y. Ogras, Siddharth Garg:
Energy efficient scheduling for web search on heterogeneous microservers. ISLPED 2015: 177-182 - [c34]Mohamed El Massad, Siddharth Garg, Mahesh V. Tripunitara:
Integrated Circuit (IC) Decamouflaging: Reverse Engineering Camouflaged ICs within Minutes. NDSS 2015 - [c33]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 - [c32]Dariush Fooladivanda, Catherine Rosenberg, Siddharth Garg:
Analysis of energy- and SoC-neutral contracts for frequency regulation with energy storage. SmartGridComm 2015: 743-749 - [e1]Ravi Iyer, Siddharth Garg:
2015 International Conference on Compilers, Architecture and Synthesis for Embedded Systems, CASES 2015, Amsterdam, The Netherlands, October 4-9, 2015. IEEE 2015, ISBN 978-1-4673-8320-2 [contents] - [i3]Riad S. Wahby, Max Howald, Siddharth Garg, Abhi Shelat, Michael Walfish:
Verifiable ASICs. IACR Cryptol. ePrint Arch. 2015: 1243 (2015) - 2014
- [j12]Dan Wang, Aravindkumar Rajendiran, Sundaram Ananthanarayanan, Hiren D. Patel, Mahesh V. Tripunitara, Siddharth Garg:
Reliable Computing with Ultra-Reduced Instruction Set Coprocessors. IEEE Micro 34(6): 86-94 (2014) - [j11]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Statistical Peak Temperature Prediction and Thermal Yield Improvement for 3D Chip Multiprocessors. ACM Trans. Design Autom. Electr. Syst. 19(4): 39:1-39:23 (2014) - [c31]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 - [c30]Bharathwaj Raghunathan, Siddharth Garg:
Job arrival rate aware scheduling for asymmetric multi-core servers in the dark silicon era. CODES+ISSS 2014: 14:1-14:9 - [c29]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 - [c28]Davood Shahrjerdi, Jeyavijayan Rajendran, Siddharth Garg, Farinaz Koushanfar, Ramesh Karri:
Shielding and securing integrated circuits with sensors. ICCAD 2014: 170-174 - [c27]Dariush Fooladivanda, Catherine Rosenberg, Siddharth Garg:
An analysis of energy storage and regulation. SmartGridComm 2014: 91-96 - [i2]Ashish Ranjan Hota, Siddharth Garg, Shreyas Sundaram:
Fragility of the Commons under Prospect-Theoretic Risk Attitudes. CoRR abs/1408.5951 (2014) - [i1]Dariush Fooladivanda, Guillaume Mancini, Siddharth Garg, Catherine Rosenberg:
State of Charge Evolution Equations for Flywheels. CoRR abs/1411.1680 (2014) - 2013
- [j10]Peter Jingjing Xia, Siddharth Garg, Slim Boumaiza:
A Hybrid Amplitude/Time Encoding Scheme for Enhancing Coding Efficiency and Dynamic Range in Digitally Modulated Power Amplifiers. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(4): 498-507 (2013) - [j9]Siddharth Garg, Diana Marculescu:
Addressing Process Variations at the Microarchitecture and System Level. Found. Trends Electron. Des. Autom. 6(3): 217-291 (2013) - [j8]Siddharth Garg, Diana Marculescu:
Mitigating the Impact of Process Variation on the Performance of 3-D Integrated Circuits. IEEE Trans. Very Large Scale Integr. Syst. 21(10): 1903-1914 (2013) - [c26]Ashish Ranjan Hota, Siddharth Garg, Shreyas Sundaram:
Resource sharing games with failures and heterogeneous risk attitudes. Allerton 2013: 535-542 - [c25]Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu:
Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling. CODES+ISSS 2013: 8:1-8:10 - [c24]Yatish Turakhia, Bharathwaj Raghunathan, Siddharth Garg, Diana Marculescu:
HaDeS: architectural synthesis for <u>h</u>eterogeneous <u>d</u>ark <u>s</u>ilicon chip multi-processors. DAC 2013: 173:1-173:7 - [c23]Bharathwaj Raghunathan, Yatish Turakhia, Siddharth Garg, Diana Marculescu:
Cherry-picking: exploiting process variations in dark-silicon homogeneous chip multi-processors. DATE 2013: 39-44 - [c22]Sundaram Ananthanarayanan, Siddharth Garg, Hiren D. Patel:
Low cost permanent fault detection using ultra-reduced instruction set co-processors. DATE 2013: 933-938 - [c21]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Impact of manufacturing process variations on performance and thermal characteristics of 3D ICs: Emerging challenges and new solutions. ISCAS 2013: 541-544 - [c20]Conor O'Sullivan, Peter M. Levine, Siddharth Garg:
Vertically-addressed test structures (VATS) for 3D IC variability and stress measurements. ISQED 2013: 96-103 - [c19]Frank Imeson, Ariq Emtenan, Siddharth Garg, Mahesh V. Tripunitara:
Securing Computer Hardware Using 3D Integrated Circuit (IC) Technology and Split Manufacturing for Obfuscation. USENIX Security Symposium 2013: 495-510 - [c18]Amr M. S. Tosson, Siddharth Garg, Mohab H. Anis:
Tagged probabilistic simulation based error probability estimation for better-than-worst case circuit design. VLSI-SoC 2013: 368-373 - 2012
- [j7]Siddharth Garg, Diana Marculescu, Radu Marculescu:
Technology-driven limits on runtime power management algorithms for multiprocessor systems-on-chip. ACM J. Emerg. Technol. Comput. Syst. 8(4): 28:1-28:17 (2012) - [j6]Siddharth Garg, Diana Marculescu:
On the Impact of Manufacturing Process Variations on the Lifetime of Sensor Networks. ACM Trans. Embed. Comput. Syst. 11(2): 33:1-33:13 (2012) - [j5]Sebastian Herbert, Siddharth Garg, Diana Marculescu:
Exploiting Process Variability in Voltage/Frequency Control. IEEE Trans. Very Large Scale Integr. Syst. 20(8): 1392-1404 (2012) - [j4]Siddharth Garg, Diana Marculescu:
System-Level Leakage Variability Mitigation for MPSoC Platforms Using Body-Bias Islands. IEEE Trans. Very Large Scale Integr. Syst. 20(12): 2289-2301 (2012) - [c17]Aravindkumar Rajendiran, Sundaram Ananthanarayanan, Hiren D. Patel, Mahesh V. Tripunitara, Siddharth Garg:
Reliable computing with ultra-reduced instruction set co-processors. DAC 2012: 697-702 - [c16]Sundaram Ananthanarayanan, Chirag Ravishankar, Siddharth Garg, Andrew A. Kennings:
EmPower: FPGA based emulation of dynamic power management algorithms for multi-core systems on chip (abstract only). FPGA 2012: 266 - [c15]Chirag Ravishankar, Sundaram Ananthanarayanan, Siddharth Garg, Andrew A. Kennings:
EmPower: FPGA based rapid prototyping of dynamic power management algorithms for multi-processor systems on chip. FPL 2012: 41-48 - [c14]Chirag Ravishankar, Sundaram Ananthanarayanan, Siddharth Garg, Andrew A. Kennings:
Analysis and evaluation of greedy thread swapping based dynamic power management for MPSoC platforms. ISQED 2012: 617-624 - 2011
- [j3]Siddharth Garg, Shreyas Sundaram, Hiren D. Patel:
Robust heterogeneous data center design: a principled approach. SIGMETRICS Perform. Evaluation Rev. 39(3): 28-30 (2011) - [c13]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Statistical thermal evaluation and mitigation techniques for 3D Chip-Multiprocessors in the presence of process variations. DATE 2011: 383-388 - [c12]Siddharth Garg, Diana Marculescu:
Special session 4A: New topics parametric yield and reliability of 3D integrated circuits: New challenges and solutions. VTS 2011: 99 - 2010
- [c11]Siddharth Garg, Diana Marculescu, Sebastian Herbert:
Process variation aware performance modeling and dynamic power management for multi-core systems. ICCAD 2010: 89-92 - [c10]Siddharth Garg, Diana Marculescu, Radu Marculescu:
Custom feedback control: enabling truly scalable on-chip power management for MPSoCs. ISLPED 2010: 425-430
2000 – 2009
- 2009
- [c9]Siddharth Garg, Diana Marculescu, Radu Marculescu, Ümit Y. Ogras:
Technology-driven limits on DVFS controllability of multiple voltage-frequency island designs: a system-level perspective. DAC 2009: 818-821 - [c8]Siddharth Garg, Diana Marculescu:
System-level process variability analysis and mitigation for 3D MPSoCs. DATE 2009: 604-609 - [c7]Siddharth Garg, Diana Marculescu:
3D-GCP: An analytical model for the impact of process variations on the critical path delay distribution of 3D ICs. ISQED 2009: 147-155 - 2008
- [j2]Diana Marculescu, Siddharth Garg:
Process-Driven Variability Analysis of Single and Multiple Voltage-Frequency Island Latency-Constrained Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(5): 893-905 (2008) - [j1]Siddharth Garg, Diana Marculescu:
System-level throughput analysis for process variation aware multiple voltage-frequency island designs. ACM Trans. Design Autom. Electr. Syst. 13(4): 59:1-59:25 (2008) - [c6]Siddharth Garg, Diana Marculescu:
System-level mitigation of WID leakage power variability using body-bias islands. CODES+ISSS 2008: 273-278 - [c5]Gowri Srinivasa, Vivek S. Oak, Siddharth Garg, Matthew C. Fickus, Jelena Kovacevic:
Voting-based active contour segmentation of fMRI images of the brain. ICIP 2008: 1100-1103 - 2007
- [c4]Siddharth Garg, Diana Marculescu:
On the impact of manufacturing process variations on the lifetime of sensor networks. CODES+ISSS 2007: 203-208 - [c3]Siddharth Garg, Diana Marculescu:
Interactive presentation: System-level process variation driven throughput analysis for single and multiple voltage-frequency island designs. DATE 2007: 403-408 - 2006
- [c2]Diana Marculescu, Siddharth Garg:
System-level process-driven variability analysis for single and multiple voltage-frequency island systems. ICCAD 2006: 541-546 - 2004
- [c1]Siddharth Garg, Siddharth Tata, Ravishankar Arunachalam:
Static Transition Probability Analysis Under Uncertainty. ICCD 2004: 380-386
Coauthor Index
[j48] [c108] [c105] [c104] [i99] [i97] [i96] [i92] [i89] [i88] [i87] [i86] [i84] [i81] [i80] [i79] [i77] [j47] [j46] [c99] [c98] [c96] [c94] [c93] [c90] [d2] [i71] [i68] [i67] [i63] [i61] [i60] [i58] [j39] [c87] [p1] [d1] [i56] [i51] [i48] [j33] [j32] [j31] [c83] [c82] [c81] [c80] [c79] [i44] [i40] [j27] [c73] [c72] [c71] [i36] [i35] [i30] [j24] [j23] [i25] [j20] [c61] [c47] [i8] [c43] [c28]
Hammond A. Pearce
aka: Hammond Pearce
aka: Hammond Pearce
Mahesh Tripunitara
aka: Mahesh V. Tripunitara
aka: Mahesh V. Tripunitara
Jeff Zhang 0001
aka: Jeff Jun Zhang
aka: Jeff Jun Zhang
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