SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding Z Xu, F Jiang, L Niu, J Jia, BY Lin, R Poovendran arXiv preprint arXiv:2402.08983, 2024 | 25 | 2024 |
BadChain: Backdoor chain-of-thought prompting for large language models Z Xiang, F Jiang, Z Xiong, B Ramasubramanian, R Poovendran, B Li The Twelfth International Conference on Learning Representations, 2024 | 18 | 2024 |
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs F Jiang, Z Xu, L Niu, Z Xiang, B Ramasubramanian, B Li, R Poovendran arXiv preprint arXiv:2402.11753, 2024 | 16 | 2024 |
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications F Jiang, Z Xu, L Niu, B Wang, J Jia, B Li, R Poovendran NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 7 | 2023 |
A chinese multi-type complex questions answering dataset over wikidata J Zou, M Yang, L Zhang, Y Xu, Q Pan, F Jiang, R Qin, S Wang, Y He, ... arXiv preprint arXiv:2111.06086, 2021 | 7 | 2021 |
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models Y Li, Z Xu, F Jiang, L Niu, D Sahabandu, B Ramasubramanian, ... arXiv preprint arXiv:2406.12257, 2024 | 1 | 2024 |
Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Z Xu, F Jiang, L Niu, J Jia, R Poovendran Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024 | | 2024 |
POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications F Jiang, Z Xu, L Niu, B Wang, J Jia, B Li, R Poovendran Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024 | | 2024 |
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates F Jiang, Z Xu, L Niu, BY Lin, R Poovendran arXiv preprint arXiv:2406.12935, 2024 | | 2024 |
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Z Xu, F Jiang, L Niu, Y Deng, R Poovendran, Y Choi, BY Lin arXiv preprint arXiv:2406.08464, 2024 | | 2024 |
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Z Xu, F Jiang, L Niu, J Jia, B Li, R Poovendran arXiv preprint arXiv:2405.20975, 2024 | | 2024 |
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning Z Xu, F Jiang, L Niu, J Jia, R Poovendran 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2024 | | 2024 |
MDTD: A Multi-Domain Trojan Detector for Deep Neural Networks A Rajabi, S Asokraj, F Jiang, L Niu, B Ramasubramanian, J Ritcey, ... Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | | 2023 |
Towards Refinement of Unbounded Parallelism in ASMs Using Concurrency and Reflection F Jiang, N Xiong, X Lian, S González, KD Schewe International Conference on Rigorous State-Based Methods, 118-123, 2021 | | 2021 |