| 2026 | AAAI | Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts. | Yao Huang, Yubo Chen, Ruochen Zhang, Yitong Sun, Shouwei Ruan, Zhenyu Wu, Yinpeng Dong, Xingxing Wei |
| 2025 | ACL | 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 |
| 2025 | CVPR | ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector. | Yuanwei Liu, Hui Wei, Chengyu Jia, Ruqi Xiao, Weijian Ruan, Xingxing Wei, Joey Tianyi Zhou, Zheng Wang |
| 2025 | ICCV | When Lighting Deceives: Exposing Vision-Language Models' Illumination Vulnerability Through Illumination Transformation Attack. | Hanqing Liu, Shouwei Ruan, Yao Huang, Shiji Zhao, Xingxing Wei |
| 2025 | ICCV | 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, Yinpeng Dong, Xingxing Wei |
| 2025 | ICCV | Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency. | Shiji Zhao, Ranjie Duan, Fengxiang Wang, Chi Chen, Caixin Kang, Shouwei Ruan, Jialing Tao, Yuefeng Chen, Hui Xue, Xingxing Wei |
| 2025 | ICCV | Rethinking Multi-Modal Object Detection From the Perspective of Mono-Modality Feature Learning. | Tianyi Zhao, Boyang Liu, Yanglei Gao, Yiming Sun, Maoxun Yuan, Xingxing Wei |
| 2025 | ICLR | TASAR: Transfer-based Attack on Skeletal Action Recognition. | Yunfeng Diao, Baiqi Wu, Ruixuan Zhang, Ajian Liu, Xiaoshuai Hao, Xingxing Wei, Meng Wang, He Wang |
| 2025 | ICRA | Multi-Task Robustness Enhancement Framework against Various Adversarial Patches. | Lihua Jing, Rui Wang, Runbo Li, Zixuan Zhu, Xingxing Wei |
| 2024 | CVPR | Towards Transferable Targeted 3D Adversarial Attack in the Physical World. | Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei |
| 2024 | ECCV | DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks. | Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei |
| 2024 | ECCV | Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. | Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei |
| 2023 | CVPR | Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. | Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu |
| 2023 | CVPR | Physically Adversarial Infrared Patches with Learnable Shapes and Locations. | Xingxing Wei, Jie Yu, Yao Huang |
| 2023 | ICCV | Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. | Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei |
| 2023 | ICCV | Unified Adversarial Patch for Cross-modal Attacks in the Physical World. | Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu |
| 2022 | ECCV | Prior-Guided Adversarial Initialization for Fast Adversarial Training. | Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao |
| 2022 | ECCV | Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection. | Maoxun Yuan, Yinyan Wang, Xingxing Wei |
| 2022 | ECCV | Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation. | Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei |
| 2021 | ICCV | Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. | Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao |
| 2020 | AAAI | Heuristic Black-Box Adversarial Attacks on Video Recognition Models. | Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang |
| 2020 | ECCV | Efficient Adversarial Attacks for Visual Object Tracking. | Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao |
| 2019 | AAAI | Sparse Adversarial Perturbations for Videos. | Xingxing Wei, Jun Zhu, Sha Yuan, Hang Su |
| 2019 | CVPR | ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. | Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh |
| 2019 | IJCAI | Transferable Adversarial Attacks for Image and Video Object Detection. | Xingxing Wei, Siyuan Liang, Ning Chen, Xiaochun Cao |
| 2013 | IJCAI | Robust Tensor Clustering with Non-Greedy Maximization. | Xiaochun Cao, Xingxing Wei, Yahong Han, Yi Yang, Dongdai Lin |
| 2009 | ISNN | Hybrid Game Theory and D-S Evidence Approach to Multiple UCAVs Cooperative Air Combat Decision. | Xingxing Wei, Haibin Duan, Yanran Wang |