FlowBazaar: A Market-Mediated Software Defined Communications Ecosystem at the Wireless Edge. - Rajarshi Bhattacharyya; Ki-Yeob Lee; Bainan Xia; Vamseedhar R. Reddyvari; Abhay Anand; Vasudev Gohil; Srinivas Shakkottai; Amogh Dhamdhere; Jean-François Chamberland-Tremblay; Gregory H. Huff (CoRR, 2018)

Security of Cloud FPGAs: A Survey. - Chenglu Jin; Vasudev Gohil; Ramesh Karri; Jeyavijayan Rajendran (CoRR, 2020)

Games, Dollars, Splits: A Game-Theoretic Analysis of Split Manufacturing. - Vasudev Gohil; Mark Tressler; Kevin Sipple; Satwik Patnaik; Jeyavijayan Rajendran (IEEE Trans. Inf. Forensics Secur., 2021)

ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning. - Vasudev Gohil; Hao Guo; Satwik Patnaik; Jeyavijayan Rajendran (CCS, 2022)

Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges. - Satwik Patnaik; Vasudev Gohil; Hao Guo; Jeyavijayan (JV) Rajendran (ISOCC, 2022)

Vulnerability Assessment of Ciphers To Fault Attacks Using Reinforcement Learning. - Hao Guo; Sayandeep Saha; Satwik Patnaik; Vasudev Gohil; Debdeep Mukhopadhyay; Jeyavijayan (JV) Rajendran (IACR Cryptol. ePrint Arch., 2022)

ExploreFault: Identifying Exploitable Fault Models in Block Ciphers with Reinforcement Learning. - Hao Guo; Sayandeep Saha; Vasudev Gohil; Satwik Patnaik; Debdeep Mukhopadhyay; Jeyavijayan (JV) Rajendran (DAC, 2023)

PSOFuzz: Fuzzing Processors with Particle Swarm Optimization. - Chen Chen 125; Vasudev Gohil; Rahul Kande; Ahmad-Reza Sadeghi; Jeyavijayan Rajendran (ICCAD, 2023)

MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors. - Vasudev Gohil; Rahul Kande; Chen Chen 125; Ahmad-Reza Sadeghi; Jeyavijayan Rajendran (DATE, 2024)

AttackGNN: Red-Teaming GNNs in Hardware Security Using Reinforcement Learning. - Vasudev Gohil; Satwik Patnaik; Dileep Kalathil; Jeyavijayan Rajendran (USENIX Security Symposium, 2024)

LLMs for Hardware Security: Boon or Bane? - Rahul Kande; Vasudev Gohil; Matthew DeLorenzo; Chen Chen 125; Jeyavijayan Rajendran (VTS, 2024)

Make Every Move Count: LLM-based High-Quality RTL Code Generation Using MCTS. - Matthew DeLorenzo; Animesh Basak Chowdhury; Vasudev Gohil; Shailja Thakur; Ramesh Karri; Siddharth Garg; Jeyavijayan Rajendran (CoRR, 2024)

CreativEval: Evaluating Creativity of LLM-Based Hardware Code Generation. - Matthew DeLorenzo; Vasudev Gohil; Jeyavijayan Rajendran (CoRR, 2024)

DETERRENT: Detecting Trojans Using Reinforcement Learning. - Vasudev Gohil; Satwik Patnaik; Hao Guo; Dileep Kalathil; Jeyavijayan Rajendran (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

LLMPirate: LLMs for Black-box Hardware IP Piracy. - Vasudev Gohil; Matthew DeLorenzo; Veera Vishwa Achuta Sai Venkat Nallam; Joey See; Jeyavijayan Rajendran (NDSS, 2025)

JBFuzz: Jailbreaking LLMs Efficiently and Effectively Using Fuzzing. - Vasudev Gohil (CoRR, 2025)