Generation and Countermeasures of adversarial examples on vision: a survey. - Jiangfan Liu 001; Yishan Li; Yanming Guo; Yu Liu; Jun Tang; Ying Nie (Artif. Intell. Rev., 2024)

MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. - Aishan Liu; Jiakai Wang; Tianyuan Zhang 004; Hainan Li; Jiangfan Liu 001; Siyuan Liang 004; Yilong Ren; Xianglong Liu 001; Dacheng Tao (ACM Multimedia, 2025)

Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving. - Tianyuan Zhang 004; Ting Jin; Lu Wang; Jiangfan Liu 001; Siyuan Liang 004; Mingchuan Zhang; Aishan Liu; Xianglong Liu 001 (CoRR, 2025)

Uncovering Strategic Egoism Behaviors in Large Language Models. - Yaoyuan Zhang; Aishan Liu; Zonghao Ying; Xianglong Liu 001; Jiangfan Liu 001; Yisong Xiao; Qihang Zhang (CoRR, 2025)

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. - Jiangfan Liu 001; Yongkang Guo; Fangzhi Zhong; Tianyuan Zhang 004; Zonglei Jing; Siyuan Liang 004; Jiakai Wang; Mingchuan Zhang; Aishan Liu; Xianglong Liu 001 (AAAI, 2026)

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization. - Zonghao Ying; Haozheng Wang; Jiangfan Liu 001; Quanchen Zou; Aishan Liu; Jian Yang 003; Yaodong Yang 001; Xianglong Liu 001 (CoRR, 2026)

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic. - Tianyuan Zhang 004; Peng Yue; Zihao Peng; Jiangfan Liu 001; Zonghao Ying; Jiakai Wang; Tianlin Li; Jian Yang 003; Yaodong Yang 001; Aishan Liu; Xianglong Liu 001 (CoRR, 2026)