| Badencoder: Backdoor Attacks to Pre-Trained Encoders in Self-Supervised Learning J Jia, Y Liu, NZ Gong 2022 IEEE Symposium on Security and Privacy (SP), 2043-2059, 2022 | 189 | 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 | 83 | 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, 1903-1920, 2022 | 75 | 2022 |
| Formalizing and Benchmarking Prompt Injection Attacks and Defenses Y Liu, Y Jia, R Geng, J Jia, NZ Gong USENIX Security Symposium, 1831-1847, 2024 | 66* | 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), 2115-2128, 2022 | 46 | 2022 |
| {PORE}: Provably Robust Recommender Systems against Data Poisoning Attacks J Jia, Y Liu, Y Hu, NZ Gong USENIX Security Symposium, 1703-1720, 2023 | 12 | 2023 |
| Defending Deep Regression Models against Backdoor Attacks L Du, Y Liu, J Jia, G Lan arXiv preprint arXiv:2411.04811, 2024 | | 2024 |
| Evaluating Large Language Model based Personal Information Extraction and Countermeasures Y Liu, Y Jia, J Jia, NZ Gong arXiv preprint arXiv:2408.07291, 2024 | | 2024 |
| 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 UniversityVerified email at duke.edu
