| Attrition: Attacking static hardware trojan detection techniques using reinforcement learning V Gohil, H Guo, S Patnaik, J Rajendran Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 18 | 2022 |
| Deterrent: detecting trojans using reinforcement learning V Gohil, S Patnaik, H Guo, D Kalathil, J Rajendran Proceedings of the 59th ACM/IEEE Design Automation Conference, 697-702, 2022 | 17 | 2022 |
| ExploreFault: Identifying exploitable fault models in block ciphers with reinforcement learning H Guo, S Saha, V Gohil, S Patnaik, D Mukhopadhyay, JJV Rajendran 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 3 | 2023 |
| Reinforcement learning for hardware security: Opportunities, developments, and challenges S Patnaik, V Gohil, H Guo, JJV Rajendran 2022 19th International SoC Design Conference (ISOCC), 217-218, 2022 | 2 | 2022 |
| Securing Cloud FPGAs Against Power Side-Channel Attacks: A Case Study on Iterative AES NG Jayasankaran, H Guo, S Patnaik, J Hu arXiv preprint arXiv:2307.02569, 2023 | | 2023 |
| Securing Cloud FPGAs Against Power Side-Channel Attacks: A Case Study on Iterative AES N Gummidipoondi Jayasankaran, H Guo, S Patnaik, J Hu arXiv e-prints, arXiv: 2307.02569, 2023 | | 2023 |
