| Survey of machine learning for electronic design automation KI Gubbi, SA Beheshti-Shirazi, T Sheaves, S Salehi, SM PD, S Rafatirad, ... Proceedings of the Great Lakes Symposium on VLSI 2022, 513-518, 2022 | 21 | 2022 |
| LOCK&ROLL: Deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking G Kolhe, T Sheaves, KI Gubbi, S Salehi, S Rafatirad, SM PD, A Sasan, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 85-90, 2022 | 14 | 2022 |
| Hardware trojan detection using machine learning: A tutorial KI Gubbi, B Saber Latibari, A Srikanth, T Sheaves, SA Beheshti-Shirazi, ... ACM Transactions on Embedded Computing Systems 22 (3), 1-26, 2023 | 12 | 2023 |
| Neuromorphic-enabled security for iot S Salehi, T Sheaves, KI Gubbi, SA Beheshti, SM PD, S Rafatirad, A Sasan, ... 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), 153-157, 2022 | 6 | 2022 |
| Machine Learning based Malware Detection for Secure Smart Grids KI Gubbi, H Wang, H Sayadi, H Homayoun 2022 11th International Conference on Renewable Energy Research and …, 2022 | 5 | 2022 |
| Silicon validation of LUT-based logic-locked IP cores G Kolhe, T Sheaves, KI Gubbi, T Kadale, S Rafatirad, SM PD, A Sasan, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1189-1194, 2022 | 5 | 2022 |
| HW-V2W-Map: Hardware Vulnerability to Weakness Mapping Framework for Root Cause Analysis with GPT-assisted Mitigation Suggestion YZ Lin, M Mamun, MA Chowdhury, S Cai, M Zhu, BS Latibari, KI Gubbi, ... arXiv preprint arXiv:2312.13530, 2023 | 1 | 2023 |
| Advanced Reinforcement Learning Solution for Clock Skew Engineering: Modified Q-Table Update Technique for Peak Current and IR Drop Minimization SA Beheshti-Shirazi, N Nazari, KI Gubbi, BS Latibari, S Rafatirad, ... IEEE Access, 2023 | 1 | 2023 |
| A survey on fhe acceleration BS Latibari, KI Gubbi, H Homayoun, A Sasan 2023 IEEE 16th Dallas Circuits and Systems Conference (DCAS), 1-6, 2023 | 1 | 2023 |
| Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach KI Gubbi, BS Latibari, MA Chowdhury, A Jalilzadeh, EY Hamedani, ... IEEE Transactions on Circuits and Systems I: Regular Papers, 2024 | | 2024 |
| Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators KI Gubbi, I Kaur, A Hashem, SM PD, H Homayoun, A Sasan, S Salehi 2023 IEEE 66th International Midwest Symposium on Circuits and Systems …, 2023 | | 2023 |
| Secure Obfuscated Hardware using ARM TrustZone KI Gubbi San Francisco State University, 2021 | | 2021 |
| Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures N Nazari, KI Gubbi, BS Latibari, MA Chowdhury, C Fang, A Sasan, ... | | |
