| TheHuzz: Instruction Fuzzing of Processors Using Golden-Reference Models for Finding Software-Exploitable Vulnerabilities R Kande, A Crump, G Persyn, P Jauernig, AR Sadeghi, A Tyagi, ... 31st USENIX Security Symposium (USENIX Security 22), 3219-3236, 2022 | 117* | 2022 |
| LLM-assisted Generation of Hardware Assertions R Kande, H Pearce, B Tan, B Dolan-Gavitt, S Thakur, R Karri, J Rajendran arXiv preprint arXiv:2306.14027, 2023 | 99 | 2023 |
| HyPFuzz: Formal-Assisted Processor Fuzzing C Chen, R Kande, N Nguyen, F Andersen, A Tyagi, AR Sadeghi, ... 32nd USENIX Security Symposium (USENIX Security 23), 2023 | 58 | 2023 |
| (Security) assertions by large language models R Kande, H Pearce, B Tan, B Dolan-Gavitt, S Thakur, R Karri, J Rajendran IEEE Transactions on Information Forensics and Security 19, 4374-4389, 2024 | 46 | 2024 |
| WhisperFuzz:White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors P Borkar, C Chen, M Rostami, N Singh, R Kande, AR Sadeghi, C Rebeiro, ... 33rd USENIX Security Symposium (USENIX Security 24), 5377-5394, 2024 | 28 | 2024 |
| MABFuzz: Multi-armed bandit algorithms for fuzzing processors V Gohil, R Kande, C Chen, AR Sadeghi, J Rajendran 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 23 | 2024 |
| PSOFuzz: Fuzzing Processors with Particle Swarm Optimization C Chen, V Gohil, R Kande, AR Sadeghi, J Rajendran IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1--9, 2023 | 21 | 2023 |
| Beyond random inputs: A novel ML-based hardware fuzzing M Rostami, M Chilese, S Zeitouni, R Kande, J Rajendran, AR Sadeghi 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 19 | 2024 |
| Organizing The World's Largest Hardware Security Competition: Challenges, Opportunities, and Lessons Learned AR Sadeghi, J Rajendran, R Kande Proceedings of the 2021 on Great Lakes Symposium on VLSI, 95-100, 2021 | 16 | 2021 |
| Trusting the Trust Anchor: Towards Detecting Cross-Layer Vulnerabilities with Hardware Fuzzing C Chen, R Kande, P Mahmoody, AR Sadeghi, JV Rajendran Proceedings of the 59th ACM/IEEE Design Automation Conference, 1379-1383, 2022 | 12 | 2022 |
| Lost and Found in Speculation: Hybrid Speculative Vulnerability Detection M Rostami, S Zeitouni, R Kande, C Chen, P Mahmoody, J Rajendran, ... Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 10 | 2024 |
| Fuzzerfly effect: Hardware fuzzing for memory safety M Rostami, C Chen, R Kande, H Li, J Rajendran, AR Sadeghi IEEE Security & Privacy 22 (4), 76-86, 2024 | 10 | 2024 |
| LLMs for Hardware Security: Boon or Bane? R Kande, V Gohil, M DeLorenzo, C Chen, J Rajendran 2024 IEEE 42nd VLSI Test Symposium (VTS), 1-4, 2024 | 9 | 2024 |
| Spec2Assertion: Automatic pre-RTL assertion generation using large language models with progressive regularization F Wu, E Pan, R Kande, M Quinn, A Tyagi, DK Houngninou, J Rajendran, ... arXiv preprint arXiv:2505.07995, 2025 | 5 | 2025 |
| Beyond random inputs: A novel ml-based hardware fuzzing. In 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE) M Rostami, M Chilese, S Zeitouni, R Kande, J Rajendran, AR Sadeghi IEEE, 1ś6, 2024 | 2 | 2024 |
| MABFuzz: Multi-Armed Bandit Algorithms for Fuzzing Processors V Gohil, R Kande, C Chen, AR Sadeghi, J Rajendran arXiv preprint arXiv:2311.14594, 2023 | | 2023 |
Jeyavijayan (JV) RajendranAssociate Professor of Electrical and Computer Engineering, Texas A&M UniversityVerified email at tamu.edu
