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ORCIDHossein Sayadi
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Journal Articles
- 2024
[j7]Zhangying He, Houman Homayoun, Hossein Sayadi:
Guarding Against the Unknown: Deep Transfer Learning for Hardware Image-Based Malware Detection. J. Hardw. Syst. Secur. 8(2): 61-78 (2024)- 2023
- [j6]Jinha Hwang, Gauri Kale, Persis Premkumar Patel, Rahul Vishwakarma
, Mehrdad Aliasgari, Ava Hedayatipour, Amin Rezaei, Hossein Sayadi:
Machine Learning in Chaos-Based Encryption: Theory, Implementations, and Applications. IEEE Access 11: 125749-125767 (2023) - [j5]Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Behnam Omidi, Setareh Rafatirad, Hossein Sayadi, Khaled N. Khasawneh, Houman Homayoun:
Adversarial Attacks Against Machine Learning-Based Resource Provisioning Systems. IEEE Micro 43(5): 35-44 (2023) - 2021
- [j4]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Jessica Lin, Paulo Cesar G. da Costa, Setareh Rafatirad, Houman Homayoun:
Towards Accurate Run-Time Hardware-Assisted Stealthy Malware Detection: A Lightweight, yet Effective Time Series CNN-Based Approach. Cryptogr. 5(4): 28 (2021) - [j3]Han Wang, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Enabling Micro AI for Securing Edge Devices at Hardware Level. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 803-815 (2021) - [j2]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Sai Manoj Pudukotai Dinakarrao, Avesta Sasan, Tinoosh Mohsenin, Setareh Rafatirad, Houman Homayoun:
Adaptive Performance Modeling of Data-intensive Workloads for Resource Provisioning in Virtualized Environment. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 18:1-18:24 (2021) - 2020
- [j1]Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun:
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics. IEEE Access 8: 138508-138528 (2020)
Conference and Workshop Papers
- 2024
- [c52]Najmeh Nazari, Chongzhou Fang, Hosein Mohammadi Makrani, Behnam Omidi, Mahdi Eslamimehr, Setareh Rafatirad, Avesta Sasan, Hossein Sayadi, Khaled N. Khasawneh, Houman Homayoun:
Architectural Whispers: Robust Machine Learning Models Fingerprinting via Frequency Throttling Side-Channels. DAC 2024: 179:1-179:6 - [c51]Zhangying He, Houman Homayoun, Hossein Sayadi:
Beyond Conventional Defenses: Proactive and Adversarial-Resilient Hardware Malware Detection using Deep Reinforcement Learning. DAC 2024: 314:1-314:6 - [c50]Zhangying He, Chelsea William Fernandes, Hossein Sayadi:
ObfusGate: Representation Learning-Based Gatekeeper for Hardware-Level Obfuscated Malware Detection. DATE 2024: 1-2 - [c49]Zhangying He, Thomas Nguyen, Tahereh Miari, Mehrdad Aliasgari, Setareh Rafatirad, Hossein Sayadi:
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering. EDUCON 2024: 1-10 - [c48]Hossein Sayadi, Zhangying He, Tahereh Miari, Mehrdad Aliasgari:
Redefining Trust: Assessing Reliability of Machine Learning Algorithms in Intrusion Detection Systems. ISCAS 2024: 1-5 - [c47]Najmeh Nazari, Furi Xiang, Chongzhou Fang, Hosein Mohammadi Makrani, Aditya Puri, Kartik Patwari, Hossein Sayadi, Setareh Rafatirad, Chen-Nee Chuah, Houman Homayoun:
LLM-FIN: Large Language Models Fingerprinting Attack on Edge Devices. ISQED 2024: 1-6 - [c46]Hossein Sayadi, Zhangying He, Hosein Mohammadi Makrani, Houman Homayoun:
Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey. ISQED 2024: 1-10 - [c45]Najmeh Nazari, Hosein Mohammadi Makrani, Chongzhou Fang, Hossein Sayadi, Setareh Rafatirad, Khaled N. Khasawneh, Houman Homayoun:
Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks. USENIX Security Symposium 2024 - 2023
- [c44]Hossein Sayadi, Zhangying He, Chelsea William Fernandes, Tahereh Miari:
Cyber-Immunity at the Core: Securing Biomedical Devices through Hardware-Level Machine Learning Defense. BioCAS 2023: 1-5 - [c43]Brendan Baird, Namya Radesh, Setareh Rafatirad, Hossein Sayadi:
Towards Race and Gender Equity in Data Science Education. FIE 2023: 1-10 - [c42]Chelsea William Fernandes, Tahereh Miari, Setareh Rafatirad, Hossein Sayadi:
Unleashing the Potential of Reinforcement Learning for Enhanced Personalized Education. FIE 2023: 1-5 - [c41]Zhangying He, Hossein Sayadi:
Image-Based Zero-Day Malware Detection in IoMT Devices: A Hybrid AI-Enabled Method. ISQED 2023: 1-8 - [c40]Rahul Vishwakarma, Ravi Monani, Amin Rezaei, Hossein Sayadi, Mehrdad Aliasgari, Ava Hedayatipour:
Attacks on Continuous Chaos Communication and Remedies for Resource Limited Devices. ISQED 2023: 1-8 - 2022
- [c39]Wooyoung Chung, Xiyu Zhang, Zunaira Ahmad, Hossein Sayadi, Setareh Rafatirad:
Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education. EDUCON 2022: 1254-1263 - [c38]Zhangying He, Amin Rezaei, Houman Homayoun, Hossein Sayadi:
Deep Neural Network and Transfer Learning for Accurate Hardware-Based Zero-Day Malware Detection. ACM Great Lakes Symposium on VLSI 2022: 27-32 - [c37]Raheel Afsharmazayejani, Hossein Sayadi, Amin Rezaei:
Distributed Logic Encryption: Essential Security Requirements and Low-Overhead Implementation. ACM Great Lakes Symposium on VLSI 2022: 127-131 - [c36]Amin Rezaei, Ava Hedayatipour, Hossein Sayadi, Mehrdad Aliasgari, Hai Zhou:
Global Attack and Remedy on IC-Specific Logic Encryption. HOST 2022: 145-148 - [c35]Zhangying He, Hosein Mohammadi Makrani, Setareh Rafatirad, Houman Homayoun, Hossein Sayadi:
Breakthrough to Adaptive and Cost-Aware Hardware-Assisted Zero-Day Malware Detection: A Reinforcement Learning-Based Approach. ICCD 2022: 231-238 - [c34]Hossein Sayadi, Mehrdad Aliasgari, Furkan Aydin, Seetal Potluri, Aydin Aysu, Jack Edmonds, Sara Tehranipoor:
Towards AI-Enabled Hardware Security: Challenges and Opportunities. IOLTS 2022: 1-10 - [c33]Hosein Mohammadi Makrani, Zhangying He, Setareh Rafatirad, Hossein Sayadi:
Accelerated Machine Learning for On-Device Hardware-Assisted Cybersecurity in Edge Platforms. ISQED 2022: 77-83 - 2021
- [c32]Han Wang, Soheil Salehi, Hossein Sayadi, Avesta Sasan, Tinoosh Mohsenin, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Evaluation of Machine Learning-based Detection against Side-Channel Attacks on Autonomous Vehicle. AICAS 2021: 1-4 - [c31]Najmeh Nazari Bavarsad, Hosein Mohammadi Makrani, Hossein Sayadi, Lawrence Landis, Setareh Rafatirad, Houman Homayoun:
HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures. ICCD 2021: 509-516 - [c30]Yifeng Gao, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Amin Rezaei, Jessica Lin, Houman Homayoun, Hossein Sayadi:
Adaptive-HMD: Accurate and Cost-Efficient Machine Learning-Driven Malware Detection using Microarchitectural Events. IOLTS 2021: 1-7 - [c29]Han Wang, Hossein Sayadi, Avesta Sasan, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Machine Learning-Assisted Website Fingerprinting Attacks with Side-Channel Information: A Comprehensive Analysis and Characterization. ISQED 2021: 79-84 - [c28]Zhangying He, Tahereh Miari, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Houman Homayoun, Hossein Sayadi:
When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection. ISQED 2021: 85-90 - [c27]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Khaled N. Khasawneh, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud. SEED 2021: 1-13 - [c26]Hosein Mohammadi Makrani, Hossein Sayadi, Najmeh Nazari, Houman Homayoun:
Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems. SVCC 2021: 22-32 - [c25]Ava Hedayatipour, Ravi Monani, Amin Rezaei, Mehrdad Aliasgari, Hossein Sayadi:
A Comprehensive Analysis of Chaos-Based Secure Systems. SVCC 2021: 90-105 - 2020
- [c24]Han Wang, Hossein Sayadi, Tinoosh Mohsenin, Liang Zhao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis. DATE 2020: 1414-1419 - [c23]Hossein Sayadi, Yifeng Gao, Hosein Mohammadi Makrani, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Jessica Lin, Houman Homayoun:
StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features. ACM Great Lakes Symposium on VLSI 2020: 175-180 - [c22]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Houman Homayoun:
Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks. ACM Great Lakes Symposium on VLSI 2020: 181-186 - [c21]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks. ICCAD 2020: 36:1-36:9 - [c20]Han Wang, Hossein Sayadi, Gaurav Kolhe, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Phased-Guard: Multi-Phase Machine Learning Framework for Detection and Identification of Zero-Day Microarchitectural Side-Channel Attacks. ICCD 2020: 648-655 - [c19]Han Wang, Hossein Sayadi, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks. ICMLA 2020: 604-611 - [c18]Han Wang, Hossein Sayadi, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features. IOLTS 2020: 1-6 - [c17]Hossein Sayadi, Han Wang, Tahereh Miari, Hosein Mohammadi Makrani, Mehrdad Aliasgari, Setareh Rafatirad, Houman Homayoun:
Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures. MWSCAS 2020: 949-952 - 2019
- [c16]Hosein Mohammadi Makrani, Hossein Sayadi, Tinoosh Mohsenin, Setareh Rafatirad, Avesta Sasan, Houman Homayoun:
XPPE: cross-platform performance estimation of hardware accelerators using machine learning. ASP-DAC 2019: 727-732 - [c15]Sai Manoj Pudukotai Dinakarrao, Sairaj Amberkar, Sahil Bhat, Abhijitt Dhavlle, Hossein Sayadi, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Adversarial Attack on Microarchitectural Events based Malware Detectors. DAC 2019: 164 - [c14]Hossein Sayadi, Hosein Mohammadi Makrani, Sai Manoj Pudukotai Dinakarrao, Tinoosh Mohsenin, Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
2SMaRT: A Two-Stage Machine Learning-Based Approach for Run-Time Specialized Hardware-Assisted Malware Detection. DATE 2019: 728-733 - [c13]Sai Manoj Pudukotai Dinakarrao, Hossein Sayadi, Hosein Mohammadi Makrani, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun:
Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks. DATE 2019: 776-781 - [c12]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. FPL 2019: 397-403 - 2018
- [c11]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj P. D., Setareh Rafatirad, Houman Homayoun:
Compressive Sensing on Storage Data: An Effective Solution to Alleviate I/0 Bottleneck in Data- Intensive Workloads. ASAP 2018: 1-8 - [c10]Hossein Sayadi, Divya Pathak, Ioannis Savidis, Houman Homayoun:
Power conversion efficiency-aware mapping of multithreaded applications on heterogeneous architectures: A comprehensive parameter tuning. ASP-DAC 2018: 70-75 - [c9]Ferdinand Brasser, Lucas Davi, Abhijitt Dhavlle, Tommaso Frassetto, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Ahmad-Reza Sadeghi, Avesta Sasan, Hossein Sayadi, Shaza Zeitouni, Houman Homayoun:
Advances and throwbacks in hardware-assisted security: special session. CASES 2018: 15:1-15:10 - [c8]Hossein Sayadi, Sai Manoj P. D., Amir Houmansadr, Setareh Rafatirad, Houman Homayoun:
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. CF 2018: 212-215 - [c7]Hosein Mohammadi Makrani, Hossein Sayadi, Devang Motwani, Han Wang, Setareh Rafatirad, Houman Homayoun:
Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud. SoCC 2018: 517 - [c6]Hossein Sayadi, Nisarg Patel, Sai Manoj P. D., Avesta Sasan, Setareh Rafatirad, Houman Homayoun:
Ensemble learning for effective run-time hardware-based malware detection: a comprehensive analysis and classification. DAC 2018: 1:1-1:6 - [c5]Hosein Mohammadi Makrani, Hossein Sayadi, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
A comprehensive memory analysis of data intensive workloads on server class architecture. MEMSYS 2018: 19-30 - [c4]Hossein Sayadi, Hosein Mohammadi Makrani, Onkar Randive, Sai Manoj Pudukotai Dinakarrao, Setareh Rafatirad, Houman Homayoun:
Customized Machine Learning-Based Hardware-Assisted Malware Detection in Embedded Devices. TrustCom/BigDataSE 2018: 1685-1688 - 2017
- [c3]Hossein Sayadi, Houman Homayoun:
Scheduling multithreaded applications onto heterogeneous composite cores architecture. IGSC 2017: 1-8 - [c2]Hossein Sayadi, Nisarg Patel, Avesta Sasan, Houman Homayoun:
Machine Learning-Based Approaches for Energy-Efficiency Prediction and Scheduling in Composite Cores Architectures. ICCD 2017: 129-136 - 2014
- [c1]Hossein Sayadi, Hamed Farbeh, Amir Mahdi Hosseini Monazzah, Seyed Ghassem Miremadi:
A data recomputation approach for reliability improvement of scratchpad memory in embedded systems. DFT 2014: 228-233
Informal and Other Publications
- 2024
- [i4]Zhangying He, Thomas Nguyen, Tahereh Miari, Mehrdad Aliasgari, Setareh Rafatirad, Hossein Sayadi:
The AI Companion in Education: Analyzing the Pedagogical Potential of ChatGPT in Computer Science and Engineering. CoRR abs/2407.05205 (2024) - 2023
- [i3]Rahul Vishwakarma, Ravi Monani, Amin Rezaei, Hossein Sayadi, Mehrdad Aliasgari, Ava Hedayatipour:
Attacks on Continuous Chaos Communication and Remedies for Resource Limited Devices. CoRR abs/2305.16692 (2023) - 2019
- [i2]Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad:
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design. CoRR abs/1907.12952 (2019) - 2018
- [i1]Hossein Sayadi:
Energy-Efficiency Prediction of Multithreaded Workloads on Heterogeneous Composite Cores Architectures using Machine Learning Techniques. CoRR abs/1808.01728 (2018)
Coauthor Index
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last updated on 2024-11-14 22:06 CET by the dblp team
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