| Ensemble Learning for Effective Run-Time Hardware-Based Malware Detection: A Comprehensive Analysis and Classification H Sayadi, N Patel, SM P D, A Sasan, S Rafatirad, H Homayoun 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018 | 209 | 2018 |
| Pyramid: Machine learning framework to estimate the optimal timing and resource usage of a high-level synthesis design HM Makrani, F Farahmand, H Sayadi, S Bondi, SMP Dinakarrao, ... IEEE Conference on Field Programmable Logic and Applications (FPL), 397-403, 2019 | 108 | 2019 |
| 2smart: A two-stage machine learning-based approach for run-time specialized hardware-assisted malware detection H Sayadi, HM Makrani, SMP Dinakarrao, T Mohsenin, A Sasan, ... IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 728-733, 2019 | 93 | 2019 |
| Lightweight node-level malware detection and network-level malware confinement in iot networks SMP Dinakarrao, H Sayadi, HM Makrani, C Nowzari, S Rafatirad, ... IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), 776-781, 2019 | 81 | 2019 |
| Machine learning-based approaches for energy-efficiency prediction and scheduling in composite cores architectures H Sayadi, N Patel, A Sasan, H Homayoun IEEE International Conference on Computer Design (ICCD), 129-136, 2017 | 76 | 2017 |
| Customized machine learning-based hardware-assisted malware detection in embedded devices H Sayadi, HM Makrani, O Randive, SM PD, S Rafatirad, H Homayoun IEEE International Conference On Trust, Security And Privacy In Computing …, 2018 | 72 | 2018 |
| Adversarial attack on microarchitectural events based malware detectors SMP Dinakarrao, S Amberkar, S Bhat, A Dhavlle, H Sayadi, A Sasan, ... 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019 | 69 | 2019 |
| XPPE: Cross-Platform Performance Estimation of Hardware Accelerators Using Machine Learning HM Makrani, H Sayadi, T Mohsenin, S Raftirad, H Homayoun ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), 727–732, 2019 | 62 | 2019 |
| Comprehensive Assessment of Run-Time Hardware-Supported Malware Detection Using General and Ensemble Learning H Sayadi, SM P D, A Houmansadr, S Rafatirad, H Homayoun ACM International Conference on Computing Frontiers (CF), 212–215, 2018 | 47 | 2018 |
| SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features H Wang, H Sayadi, S Rafatirad, A Sasan, H Homayoun IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS), 2020 | 46 | 2020 |
| Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis H Wang, H Sayadi, T Mohsenin, L Zhao, A Sasan, S Rafatirad, ... IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020 | 40 | 2020 |
| When machine learning meets hardware cybersecurity: Delving into accurate zero-day malware detection Z He, T Miari, HM Makrani, M Aliasgari, H Homayoun, H Sayadi IEEE International Symposium on Quality Electronic Design (ISQED), 85-90, 2021 | 37 | 2021 |
| Cognitive and scalable technique for securing IoT networks against malware epidemics SMP Dinakarrao, X Guo, H Sayadi, C Nowzari, A Sasan, S Rafatirad, ... IEEE Access 8, 138508-138528, 2020 | 35 | 2020 |
| Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks H Wang, H Sayadi, A Sasan, S Rafatirad, H Homayoun IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2020 | 34 | 2020 |
| Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks H Wang, H Sayadi, A Sasan, S Rafatirad, H Homayoun ACM Great Lakes Symposium on VLSI (GLSVLSI), 181–186, 2020 | 34 | 2020 |
| Advances and throwbacks in hardware-assisted security: special session F Brasser, L Davi, A Dhavlle, T Frassetto, SMP Dinakarrao, S Rafatirad, ... IEEE International Conference on Compilers, Architecture and Synthesis for …, 2018 | 33* | 2018 |
| Recent Advancements in Microarchitectural Security: Review of Machine Learning Countermeasures H Sayadi, H Wang, T Miari, H Mohammadi Makrani, M Aliasgari, ... 63rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2020 | 31 | 2020 |
| Towards accurate run-time hardware-assisted stealthy malware detection: a lightweight, yet effective time series CNN-based approach H Sayadi, Y Gao, H Mohammadi Makrani, J Lin, PC Costa, S Rafatirad, ... Cryptography 5 (4), 28, 2021 | 30 | 2021 |
| StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features H Sayadi, Y Gao, H Mohammadi Makrani, T Mohsenin, A Sasan, ... ACM Great Lakes Symposium on VLSI (GLSVLSI), 175–180, 2020 | 29 | 2020 |
| A data recomputation approach for reliability improvement of scratchpad memory in embedded systems H Sayadi, H Farbeh, AMH Monazzah, SG Miremadi Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2014 …, 2014 | 27 | 2014 |
