ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. - Yinpeng Dong; Shouwei Ruan; Hang Su 006; Caixin Kang; Xingxing Wei 001; Jun Zhu 001 (NeurIPS, 2022)

Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. - Shouwei Ruan; Yinpeng Dong; Hang Su 006; Jianteng Peng; Ning Chen 002; Xingxing Wei 001 (ICCV, 2023)

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World. - Caixin Kang; Yinpeng Dong; Zhengyi Wang; Shouwei Ruan; Hang Su 006; Xingxing Wei 001 (CoRR, 2023)

Distributional Modeling for Location-Aware Adversarial Patches. - Xingxing Wei 001; Shouwei Ruan; Yinpeng Dong; Hang Su 006 (CoRR, 2023)

Improving Viewpoint Robustness for Visual Recognition via Adversarial Training. - Shouwei Ruan; Yinpeng Dong; Hang Su 006; Jianteng Peng; Ning Chen 002; Xingxing Wei 001 (CoRR, 2023)

Towards Transferable Targeted 3D Adversarial Attack in the Physical World. - Yao Huang; Yinpeng Dong; Shouwei Ruan; Xiao Yang; Hang Su; Xingxing Wei (CoRR, 2023)

Towards Transferable Targeted 3D Adversarial Attack in the Physical World. - Yao Huang; Yinpeng Dong; Shouwei Ruan; Xiao Yang; Hang Su 006; Xingxing Wei 001 (CVPR, 2024)

DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks. - Caixin Kang; Yinpeng Dong; Zhengyi Wang; Shouwei Ruan; Yubo Chen 008; Hang Su 006; Xingxing Wei 001 (ECCV (52), 2024)

Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. - Shouwei Ruan; Yinpeng Dong; Hanqing Liu; Yao Huang; Hang Su 006; Xingxing Wei 001 (ECCV (26), 2024)

Exploring the Robustness of Decision-Level Through Adversarial Attacks on LLM-Based Embodied Models. - Shuyuan Liu; Jiawei Chen; Shouwei Ruan; Hang Su 006; Zhaoxia Yin (ACM Multimedia, 2024)

Real-world Adversarial Defense against Patch Attacks based on Diffusion Model. - Xingxing Wei 001; Caixin Kang; Yinpeng Dong; Zhengyi Wang; Shouwei Ruan; Yubo Chen 008; Hang Su 006 (CoRR, 2024)

OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations. - Caixin Kang; Yubo Chen 008; Shouwei Ruan; Shiji Zhao; Ruochen Zhang; Jiayi Wang; Shan Fu; Xingxing Wei 001 (CoRR, 2024)

AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations? - Shouwei Ruan; Hanqing Liu; Yao Huang; Xiaoqi Wang; Caixin Kang; Hang Su 006; Yinpeng Dong; Xingxing Wei 001 (CoRR, 2024)

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

When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack. - Hanqing Liu; Shouwei Ruan; Yao Huang; Shiji Zhao; Xingxing Wei (CoRR, 2025)

Towards NSFW-Free Text-to-Image Generation via Safety-Constraint Direct Preference Optimization. - Shouwei Ruan; Zhenyu Wu; Yao Huang; Ruochen Zhang; Yitong Sun; Caixin Kang; Xingxing Wei (CoRR, 2025)

Distributionally Location-Aware Transferable Adversarial Patches for Facial Images. - Xingxing Wei 001; Shouwei Ruan; Yinpeng Dong; Hang Su 006; Xiaochun Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Enhancing Adversarial Robustness of Vision Language Models via Adversarial Mixture Prompt Tuning. - Shiji Zhao; Qihui Zhu; Shukun Xiong; Shouwei Ruan; Yize Fan; Ranjie Duan; Qing Guo; Xingxing Wei (CoRR, 2025)

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