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Vasudev Gohil
Vasudev Gohil
Graduate Research Assistant, Dept. of ECE, Texas A&M University
Dirección de correo verificada de tamu.edu - Página principal
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Security of Cloud FPGAs: A Survey
C Jin, V Gohil, R Karri, J Rajendran
arXiv preprint arXiv:2005.04867, 2020
442020
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
142022
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
112022
Security of cloud FPGAs: A survey
J Chenglu, G Vasudev, K Ramesh, R Jeyavijayan
Cryptography and Security, 1-5, 2020
9*2020
PSOFuzz: Fuzzing Processors with Particle Swarm Optimization
C Chen, V Gohil, R Kande, AR Sadeghi, J Rajendran
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1-9, 2023
32023
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
32022
MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors
V Gohil, R Kande, C Chen, AR Sadeghi, J Rajendran
arXiv preprint arXiv:2311.14594, 2023
22023
Vulnerability Assessment of Ciphers To Fault Attacks Using Reinforcement Learning
H Guo, S Saha, S Patnaik, V Gohil, D Mukhopadhyay, JJV Rajendran
Cryptology ePrint Archive, 2022
22022
Games, Dollars, Splits: A Game-Theoretic Analysis of Split Manufacturing
V Gohil, M Tressler, K Sipple, S Patnaik, J Rajendran
IEEE Transactions on Information Forensics and Security 16, 5077-5092, 2021
22021
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
12023
CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation
M DeLorenzo, V Gohil, J Rajendran
arXiv preprint arXiv:2404.08806, 2024
2024
AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning
V Gohil, S Patnaik, D Kalathil, J Rajendran
arXiv preprint arXiv:2402.13946, 2024
2024
Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS
M DeLorenzo, AB Chowdhury, V Gohil, S Thakur, R Karri, S Garg, ...
arXiv preprint arXiv:2402.03289, 2024
2024
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