Adversarial Semantic Contour for Object Detection. - Yichi Zhang 012; Zijian Zhu; Xiao Yang 028; Jun Zhu 001 (CoRR, 2021)

Unrestricted Adversarial Attacks on ImageNet Competition. - Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; Chao Li; Yinpeng Dong; Qi-An Fu; Xiao Yang 028; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; et al. (CoRR, 2021)

Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications. - Zhongkai Hao; Songming Liu; Yichi Zhang 012; Chengyang Ying; Yao Feng 002; Hang Su 006; Jun Zhu 001 (CoRR, 2022)

Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving. - Zijian Zhu; Yichi Zhang 012; Hai Chen; Yinpeng Dong; Shu Zhao; Wenbo Ding 004; Jiachen Zhong; Shibao Zheng (CVPR, 2023)

Rethinking Model Ensemble in Transfer-based Adversarial Attacks. - Huanran Chen; Yichi Zhang 012; Yinpeng Dong; Jun Zhu 001 (CoRR, 2023)

Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving. - Zijian Zhu; Yichi Zhang 012; Hai Chen; Yinpeng Dong; Shu Zhao; Wenbo Ding 004; Jiachen Zhong; Shibao Zheng (CoRR, 2023)

How Robust is Google's Bard to Adversarial Image Attacks? - Yinpeng Dong; Huanran Chen; Jiawei Chen; Zhengwei Fang; Xiao Yang 028; Yichi Zhang 012; Yu Tian; Hang Su 006; Jun Zhu 001 (CoRR, 2023)

To make yourself invisible with Adversarial Semantic Contours. - Yichi Zhang 012; Zijian Zhu; Hang Su 006; Jun Zhu 001; Shibao Zheng; Yuan He 011; Hui Xue 001 (Comput. Vis. Image Underst., 2023)

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. - Yichi Zhang 012; Yinpeng Dong; Siyuan Zhang; Tianzan Min; Hang Su 006; Jun Zhu 001 (CVPR, 2024)

Rethinking Model Ensemble in Transfer-based Adversarial Attacks. - Huanran Chen; Yichi Zhang 012; Yinpeng Dong; Xiao Yang 028; Hang Su 006; Jun Zhu 001 (ICLR, 2024)

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs. - Zhongkai Hao; Jiachen Yao; Chang Su; Hang Su 006; Ziao Wang; Fanzhi Lu; Zeyu Xia 003; Yichi Zhang 012; Songming Liu; Lu Lu; Jun Zhu 001 (NeurIPS, 2024)

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models. - Yichi Zhang 012; Yao Huang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Yifan Wang; Huanran Chen; Xiao Yang 028; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (NeurIPS, 2024)

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. - Yichi Zhang 012; Yao Huang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Yifan Wang; Huanran Chen; Xiao Yang 028; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (CoRR, 2024)

Scaling Laws for Black box Adversarial Attacks. - Chuan Liu; Huanran Chen; Yichi Zhang 012; Yinpeng Dong; Jun Zhu 001 (CoRR, 2024)

Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space. - Yao Huang; Yitong Sun 002; Shouwei Ruan; Yichi Zhang 012; Yinpeng Dong; Xingxing Wei 001 (ACL (Findings), 2025)

STAIR: Improving Safety Alignment with Introspective Reasoning. - Yichi Zhang 012; Siyuan Zhang; Yao Huang; Zeyu Xia 003; Zhengwei Fang; Xiao Yang 028; Ranjie Duan; Dong Yan; Yinpeng Dong; Jun Zhu 001 (CoRR, 2025)

Self-Memory Alignment: Mitigating Factual Hallucinations with Generalized Improvement. - Siyuan Zhang; Yichi Zhang 012; Yinpeng Dong; Hang Su 006 (CoRR, 2025)

RealSafe-R1: Safety-Aligned DeepSeek-R1 without Compromising Reasoning Capability. - Yichi Zhang 012; Zihao Zeng; Dongbai Li; Yao Huang; Zhijie Deng; Yinpeng Dong (CoRR, 2025)

Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives. - Huanran Chen; Yinpeng Dong; Zeming Wei; Yao Huang; Yichi Zhang 012; Hang Su 006; Jun Zhu 001 (CoRR, 2025)

Mitigating Overthinking in Large Reasoning Models via Manifold Steering. - Yao Huang; Huanran Chen; Shouwei Ruan; Yichi Zhang 012; Xingxing Wei 001; Yinpeng Dong (CoRR, 2025)

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents. - Hang Su 006; Jun Luo; Chang Liu 077; Xiao Yang 028; Yichi Zhang 012; Yinpeng Dong; Jun Zhu 001 (CoRR, 2025)

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation. - Yichi Zhang 012; Yao Huang; Yifan Wang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Huanran Chen; Xiao Yang 028; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (CoRR, 2025)

Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models. - Ranjie Duan; Jiexi Liu 005; Xiaojun Jia; Shiji Zhao; Ruoxi Cheng; Fengxiang Wang; Cheng Wei; Yong Xie; Chang Liu; Defeng Li; Yinpeng Dong; Yichi Zhang 012; et al. (CoRR, 2025)

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention. - Yichi Zhang 012; Yue Ding; Jingwen Yang; Tianwei Luo; Dongbai Li; Ranjie Duan; Qiang Liu 006; Hang Su 006; Yinpeng Dong; Jun Zhu 001 (CoRR, 2025)

DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios. - Yao Huang; Yitong Sun 002; Yichi Zhang 012; Ruochen Zhang; Yinpeng Dong; Xingxing Wei 001 (CoRR, 2025)