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Zhangchen Xu
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SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Z Xu, F Jiang, L Niu, J Jia, BY Lin, R Poovendran
ACL 2024, 2024
252024
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs
F Jiang, Z Xu, L Niu, Z Xiang, B Ramasubramanian, B Li, R Poovendran
ACL 2024, 2024
162024
Wireless Distributed Consensus in Vehicle to Vehicle Networks for Autonomous Driving
C Feng, Z Xu, X Zhu, PV Klaine, L Zhang
IEEE Transactions on Vehicular Technology, 2023
142023
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications
F Jiang, Z Xu, L Niu, B Wang, J Jia, B Li, R Poovendran
Instruction Workshop @ NeurIPS 2023, 2023
72023
Exact Fault-Tolerant Consensus With Voting Validity
Z Xu, Y Li, C Feng, L Zhang
2023 IEEE International Parallel and Distributed Processing Symposium, 2023
22023
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
12024
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
Usenix Security 2024, 2024
2024
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
Z Xu, F Jiang, L Niu, J Jia, R Poovendran
The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2024
2024
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