Wu, Baoyuan

70 publications

ICLR 2026 AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models Zihao Zhu, Xinyu Wu, Gehan Hu, Siwei Lyu, Ke Xu, Baoyuan Wu

ICLR 2026 Reliable Poisoned Sample Detection Against Backdoor Attacks Enhanced by Sharpness Aware Minimization Mingda Zhang, Mingli Zhu, Zihao Zhu, Li Shen, Baoyuan Wu

ICLR 2026 Test-Time Poisoned Sample Detection by Exploiting Shallow Malicious Matching in Backdoored CLIP Zhengyao Song, Meixi Zheng, Ke Xu, Yongqiang Li, Baoyuan Wu

ICLR 2025 Activation Gradient Based Poisoned Sample Detection Against Backdoor Attacks Danni Yuan, Mingda Zhang, Shaokui Wei, Li Liu, Baoyuan Wu

ICCV 2025 BadVideo: Stealthy Backdoor Attack Against Text-to-Video Generation Ruotong Wang, Mingli Zhu, Jiarong Ou, Rui Chen, Xin Tao, Pengfei Wan, Baoyuan Wu

AAAI 2025 C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection Chuangchuang Tan, Renshuai Tao, Huan Liu, Guanghua Gu, Baoyuan Wu, Yao Zhao, Yunchao Wei

ICML 2025 Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection Zhiyuan Yan, Jiangming Wang, Peng Jin, Ke-Yue Zhang, Chengchun Liu, Shen Chen, Taiping Yao, Shouhong Ding, Baoyuan Wu, Li Yuan

CVPR 2025 SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model Zhenglin Huang, Jinwei Hu, Xiangtai Li, Yiwei He, Xingyu Zhao, Bei Peng, Baoyuan Wu, Xiaowei Huang, Guangliang Cheng

AAAI 2025 Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu

WACV 2025 Texture Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection Yunfei Li, Yuezun Li, Xin Wang, Baoyuan Wu, Jiaran Zhou, Junyu Dong

NeurIPS 2025 X2-DFD: A Framework for Explainable and Extendable Deepfake Detection Yize Chen, Zhiyuan Yan, Guangliang Cheng, Kangran Zhao, Siwei Lyu, Baoyuan Wu

CVPR 2024 BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning Siyuan Liang, Mingli Zhu, Aishan Liu, Baoyuan Wu, Xiaochun Cao, Ee-Chien Chang

NeurIPS 2024 Breaking the False Sense of Security in Backdoor Defense Through Re-Activation Attack Mingli Zhu, Siyuan Liang, Baoyuan Wu

CVPRW 2024 Can ChatGPT Detect DeepFakes? a Study of Using Multimodal Large Language Models for Media Forensics Shan Jia, Reilin Lyu, Kangran Zhao, Yize Chen, Zhiyuan Yan, Yan Ju, Chuanbo Hu, Xin Li, Baoyuan Wu, Siwei Lyu

CVPR 2024 Decentralized Directed Collaboration for Personalized Federated Learning Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen

NeurIPS 2024 FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge Hanzhe Li, Jiaran Zhou, Yuezun Li, Baoyuan Wu, Bin Li, Junyu Dong

AAAI 2024 Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu

NeurIPS 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor Shaokui Wei, Hongyuan Zha, Baoyuan Wu

CVPR 2024 Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection Zhiyuan Yan, Yuhao Luo, Siwei Lyu, Qingshan Liu, Baoyuan Wu

ICLR 2024 VDC: Versatile Data Cleanser Based on Visual-Linguistic Inconsistency by Multimodal Large Language Models Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu

TMLR 2024 Visual Prompt Based Personalized Federated Learning Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao

NeurIPS 2023 DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu

CVPR 2023 DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks Qiangqiang Wu, Tianyu Yang, Ziquan Liu, Baoyuan Wu, Ying Shan, Antoni B. Chan

ICCV 2023 Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu

ICCV 2023 Global Balanced Experts for Federated Long-Tailed Learning Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu

ICMLW 2023 Improving Adversarial Training for Multiple Perturbations Through the Lens of Uniform Stability Jiancong Xiao, Zeyu Qin, Yanbo Fan, Baoyuan Wu, Jue Wang, Zhi-Quan Luo

ICML 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao

NeurIPS 2023 Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu

NeurIPS 2023 Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu

ICCV 2023 ToonTalker: Cross-Domain Face Reenactment Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang

ICCV 2023 UCF: Uncovering Common Features for Generalizable Deepfake Detection Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu

ECCV 2022 A Large-Scale Multiple-Objective Method for Black-Box Attack Against Object Detection Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao

CVPR 2022 Accelerating Neural Network Optimization Through an Automated Control Theory Lens Jiahao Wang, Baoyuan Wu, Rui Su, Mingdeng Cao, Shuwei Shi, Wanli Ouyang, Yujiu Yang

ICLR 2022 Backdoor Defense via Decoupling the Training Process Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren

NeurIPS 2022 BackdoorBench: A Comprehensive Benchmark of Backdoor Learning Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen

CVPR 2022 Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia

NeurIPS 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu

NeurIPS 2022 Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples Weixin Chen, Baoyuan Wu, Haoqian Wang

CVPR 2022 LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

ECCV 2022 Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

ECCV 2022 StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-Trained StyleGAN Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang

ICLR 2021 Effective and Efficient Vote Attack on Capsule Networks Jindong Gu, Baoyuan Wu, Volker Tresp

ICCV 2021 Invisible Backdoor Attack with Sample-Specific Triggers Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu

ICCV 2021 Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang

ICCV 2021 Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao

CVPR 2021 Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang

CVPR 2021 Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

NeurIPS 2021 Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu

ICLR 2021 Targeted Attack Against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia

CVPR 2021 TediGAN: Text-Guided Diverse Face Image Generation and Manipulation Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu

ECCV 2020 Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu

ECCV 2020 SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu

ECCV 2020 Sparse Adversarial Attack via Perturbation Factorization Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang

CVPR 2019 Compressing Convolutional Neural Networks via Factorized Convolutional Filters Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang, Wei Liu

ICCV 2019 Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation with Partially Labeled Data Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji

CVPR 2019 Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu

CVPR 2019 Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu

CVPR 2019 Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji

CVPR 2019 Learning to Compose Dynamic Tree Structures for Visual Contexts Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu

CVPR 2019 Residual Regression with Semantic Prior for Crowd Counting Jia Wan, Wenhan Luo, Baoyuan Wu, Antoni B. Chan, Wei Liu

CVPR 2019 Target-Aware Deep Tracking Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ECCV 2018 Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng

CVPR 2018 CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF Linchao Bao, Baoyuan Wu, Wei Liu

CVPR 2018 Tagging like Humans: Diverse and Distinct Image Annotation Baoyuan Wu, Weidong Chen, Peng Sun, Wei Liu, Bernard Ghanem, Siwei Lyu

CVPR 2017 Diverse Image Annotation Baoyuan Wu, Fan Jia, Wei Liu, Bernard Ghanem

AAAI 2016 Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-Label Learning Baoyuan Wu, Siwei Lyu, Bernard Ghanem

ICCV 2015 ML-MG: Multi-Label Learning with Missing Labels Using a Mixed Graph Baoyuan Wu, Siwei Lyu, Bernard Ghanem

CVPR 2013 Constrained Clustering and Its Application to Face Clustering in Videos Baoyuan Wu, Yifan Zhang, Bao-Gang Hu, Qiang Ji

ICCV 2013 Simultaneous Clustering and Tracklet Linking for Multi-Face Tracking in Videos Baoyuan Wu, Siwei Lyu, Bao-Gang Hu, Qiang Ji