Prompt Injection Attacks and Defenses in LLM-Integrated Applications. - Yupei Liu; Yuqi Jia; Runpeng Geng; Jinyuan Jia 001; Neil Zhenqiang Gong (CoRR, 2023)

Competitive Advantage Attacks to Decentralized Federated Learning. - Yuqi Jia; Minghong Fang; Neil Zhenqiang Gong (CoRR, 2023)

An IoT Architecture for Enhancing Safety in Supply Chain Systems. - Wen Zeng; Nicholas Kit Lam Wan; Vasileios Germanos; Yuqi Jia; Leandros Maglaras; Carlos Molina-Jiménez (ICIS, 2024)

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. - Yuqi Jia; Saeed Vahidian; Jingwei Sun 002; Jianyi Zhang; Vyacheslav Kungurtsev; Neil Zhenqiang Gong; Yiran Chen 001 (ECCV (78), 2024)

Formalizing and Benchmarking Prompt Injection Attacks and Defenses. - Yupei Liu; Yuqi Jia; Runpeng Geng; Jinyuan Jia 001; Neil Zhenqiang Gong (USENIX Security Symposium, 2024)

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning. - Yuqi Jia; Minghong Fang; Hongbin Liu 005; Jinghuai Zhang; Neil Zhenqiang Gong (CoRR, 2024)

Evaluating Large Language Model based Personal Information Extraction and Countermeasures. - Yupei Liu; Yuqi Jia; Jinyuan Jia 001; Neil Zhenqiang Gong (CoRR, 2024)

DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks. - Yupei Liu; Yuqi Jia; Jinyuan Jia 001; Dawn Song; Neil Zhenqiang Gong (SP, 2025)

A Critical Evaluation of Defenses against Prompt Injection Attacks. - Yuqi Jia; Zedian Shao; Yupei Liu; Jinyuan Jia 001; Dawn Song; Neil Zhenqiang Gong (CoRR, 2025)

PromptArmor: Simple yet Effective Prompt Injection Defenses. - Tianneng Shi; Kaijie Zhu; Zhun Wang; Yuqi Jia; Will Cai; Weida Liang; Haonan Wang; Hend Alzahrani; Joshua Lu; Kenji Kawaguchi; Basel Alomair; Xuandong Zhao; et al. (CoRR, 2025)