Organizing The World's Largest Hardware Security Competition: Challenges, Opportunities, and Lessons Learned. - Ahmad-Reza Sadeghi; Jeyavijayan Rajendran; Rahul Kande (ACM Great Lakes Symposium on VLSI, 2021)

Trusting the trust anchor: towards detecting cross-layer vulnerabilities with hardware fuzzing. - Chen Chen 125; Rahul Kande; Pouya Mahmoody; Ahmad-Reza Sadeghi; J. V. Rajendran 001 (DAC, 2022)

TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities. - Rahul Kande; Addison Crump; Garrett Persyn; Patrick Jauernig; Ahmad-Reza Sadeghi; Aakash Tyagi; Jeyavijayan Rajendran (USENIX Security Symposium, 2022)

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

HyPFuzz: Formal-Assisted Processor Fuzzing. - Chen Chen 125; Rahul Kande; Nathan Nguyen; Flemming Andersen; Aakash Tyagi; Ahmad-Reza Sadeghi; Jeyavijayan Rajendran (USENIX Security Symposium, 2023)

LLM-assisted Generation of Hardware Assertions. - Rahul Kande; Hammond Pearce; Benjamin Tan 001; Brendan Dolan-Gavitt; Shailja Thakur; Ramesh Karri; Jeyavijayan Rajendran (CoRR, 2023)

Lost and Found in Speculation: Hybrid Speculative Vulnerability Detection. - Mohamadreza Rostami; Shaza Zeitouni; Rahul Kande; Chen Chen 125; Pouya Mahmoody; Jeyavijayan Rajendran; Ahmad-Reza Sadeghi (DAC, 2024)

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

Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing. - Mohamadreza Rostami; Marco Chilese; Shaza Zeitouni; Rahul Kande; Jeyavijayan Rajendran; Ahmad-Reza Sadeghi (DATE, 2024)

WhisperFuzz: White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors. - Pallavi Borkar; Chen Chen 125; Mohamadreza Rostami; Nikhilesh Singh; Rahul Kande; Ahmad-Reza Sadeghi; Chester Rebeiro; 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)

Fuzzerfly Effect: Hardware Fuzzing for Memory Safety. - Mohamadreza Rostami; Chen Chen 125; Rahul Kande; Huimin Li 004; Jeyavijayan Rajendran; Ahmad-Reza Sadeghi (IEEE Secur. Priv., 2024)

(Security) Assertions by Large Language Models. - Rahul Kande; Hammond Pearce; Benjamin Tan 001; Brendan Dolan-Gavitt; Shailja Thakur; Ramesh Karri; Jeyavijayan Rajendran (IEEE Trans. Inf. Forensics Secur., 2024)

Spec2Assertion: Automatic Pre-RTL Assertion Generation using Large Language Models with Progressive Regularization. - Fenghua Wu; Evan Pan; Rahul Kande; Michael Quinn; Aakash Tyagi; David Kebo Houngninou; Jeyavijayan Rajendran; Jiang Hu (CoRR, 2025)