| BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning J Jia, Y Liu, NZ Gong IEEE Symposium on Security and Privacy, 2022 | 151 | 2022 |
| Certified Robustness of Nearest Neighbors Against Data Poisoning and Backdoor Attacks J Jia, Y Liu, X Cao, NZ Gong Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9575-9583, 2022 | 78 | 2022 |
| Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles RS Hallyburton, Y Liu, Y Cao, ZM Mao, M Pajic USENIX Security Symposium, 2022 | 56 | 2022 |
| Formalizing and Benchmarking Prompt Injection Attacks and Defenses Y Liu, Y Jia, R Geng, J Jia, NZ Gong USENIX Security Symposium, 2024 | 36* | 2024 |
| StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Y Liu, J Jia, H Liu, NZ Gong ACM Conference on Computer and Communications Security (CCS), 2022 | 36 | 2022 |
| PORE: Provably Robust Recommender Systems against Data Poisoning Attacks J Jia, Y Liu, Y Hu, NZ Gong USENIX Security Symposium, 2023 | 8 | 2023 |
| DRMGuard: Defending Deep Regression Models against Backdoor Attacks L Du, Y Liu, J Jia, G Lan | | 2023 |
| FMLock: Preventing Unauthorized Use of Large Foundation Models Y Liu, J Jia, NZ Gong | | 2023 |
Neil Zhenqiang GongAssociate Professor, Duke University在 duke.edu 的电子邮件经过验证
