Fengqing Jiang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Recognition Algorithm

Top Venues

Mob. Inf. Syst.

Publications

Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. CoRR (2024)
Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. USENIX Security Symposium (2024)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Bill Yuchen Lin, Radha Poovendran
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates. CoRR (2024)
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. ACL (1) (2024)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
POSTER: Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. AsiaCCS (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Radha Poovendran
Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning. AsiaCCS (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding. CoRR (2024)
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Yuntian Deng, Radha Poovendran, Yejin Choi, Bill Yuchen Lin
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. CoRR (2024)
Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. ICLR (2024)
Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks. CoRR (2023)
Arezoo Rajabi, Surudhi Asokraj, Fengqing Jiang, Luyao Niu, Bhaskar Ramasubramanian, James A. Ritcey, Radha Poovendran
MDTD: A Multi-Domain Trojan Detector for Deep Neural Networks. CCS (2023)
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Boxin Wang, Jinyuan Jia, Bo Li, Radha Poovendran
Identifying and Mitigating Vulnerabilities in LLM-Integrated Applications. CoRR (2023)
Jianyun Zou, Min Yang, Lichao Zhang, Yechen Xu, Qifan Pan, Fengqing Jiang, Ran Qin, Shushu Wang, Yifan He, Songfang Huang, Zhou Zhao
A Chinese Multi-type Complex Questions Answering Dataset over Wikidata. CoRR (2021)
Fengqing Jiang, Xiao Chen
An Action Recognition Algorithm for Sprinters Using Machine Learning. Mob. Inf. Syst. 2021 (2021)
Fengqing Jiang, Neng Xiong, Xinyu Lian, Senén González, Klaus-Dieter Schewe
Towards Refinement of Unbounded Parallelism in ASMs Using Concurrency and Reflection. ABZ (2021)