A PAWL for Enhancing Strength and Endurance during Walking Using Interaction Force and Dynamical Information. - Feng Chen; Yong Yu 003; YunJian Ge; Jian Sun; Baoyuan Wu (ROBIO, 2006)

Design of the force-sensors system of WPAL. - Jian Sun; Feng Chen; Baoyuan Wu; Xiaohong Deng; Yong Yu 003; YunJian Ge (ROBIO, 2007)

Density and neighbor Adaptive Information Theoretic Clustering. - Baoyuan Wu; Bao-Gang Hu (IJCNN, 2011)

A Novel F-Pad for Handwriting Force Information Acquisition. - Jianfei Luo; Baoyuan Wu; Qiu-Shi Lin; Fei Shen; ZhongCheng Wu (ICIC (2), 2012)

Development of an Integrated Perceptual foot System for Humanoid Robots. - Baoyuan Wu; Fei Shen; Yang Ren; Jianfei Luo; ZhongCheng Wu (Int. J. Robotics Autom., 2012)

Constrained Clustering and Its Application to Face Clustering in Videos. - Baoyuan Wu; Yifan Zhang 001; Bao-Gang Hu; Qiang Ji (CVPR, 2013)

Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos. - Baoyuan Wu; Siwei Lyu; Bao-Gang Hu; Qiang Ji (ICCV, 2013)

Multi-label Learning with Missing Labels. - Baoyuan Wu; Zhilei Liu; Shangfei Wang; Bao-Gang Hu; Qiang Ji (ICPR, 2014)

Signal Processing and Application of Six-axis Force/Torque Sensor Integrated in Humanoid Robot Foot. - Baoyuan Wu; Qingquan Yan; Jianfei Luo; ZhongCheng Wu (J. Signal Process. Syst., 2014)

ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph. - Baoyuan Wu; Siwei Lyu; Bernard Ghanem (ICCV, 2015)

Multi-label learning with missing labels for image annotation and facial action unit recognition. - Baoyuan Wu; Siwei Lyu; Bao-Gang Hu; Qiang Ji (Pattern Recognit., 2015)

Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning. - Baoyuan Wu; Siwei Lyu; Bernard Ghanem (AAAI, 2016)

Research on the Tokamak Equipment CAsk (TECA) for Remote Handling in Experimental Advanced Superconducting Tokamak (EAST). - Lifu Gao; Weibin Guo; Baoyuan Wu; Daqing Wang; Yuan Liu; Yi Liu; Qiang Zhang; Zengfu Wang; Liangbin Guo (IAS, 2016)

Control System Design and Implementation of Flexible Multi-joint Snake-Like Robot for Inspecting Vessel. - Yi Liu; Qingquan Yan; Qiang Zhang; Weibin Guo; Odbal; Baoyuan Wu; Zengfu Wang (IAS, 2016)

Structural Design of Multi-joint Foldable Robot Manipulator for Remote Inspection in Experimental Advanced Superconducting Tokamak (EAST). - Baoyuan Wu; Weibin Guo; Yi Liu; Qiang Zhang; Ling Zhou; Qingquan Yan; Zhong Zheng; Zengfu Wang (IAS, 2016)

ℓp-Box ADMM: A Versatile Framework for Integer Programming. - Baoyuan Wu; Bernard Ghanem (CoRR, 2016)

Facial action unit recognition under incomplete data based on multi-label learning with missing labels. - Yongqiang Li; Baoyuan Wu; Bernard Ghanem; Yongping Zhao; Hongxun Yao; Qiang Ji (Pattern Recognit., 2016)

A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos. - Yifan Zhang 001; Zhiqiang Tang; Baoyuan Wu; Qiang Ji; Hanqing Lu (IEEE Trans. Image Process., 2016)

Diverse Image Annotation. - Baoyuan Wu; Fan Jia; Wei Liu 005; Bernard Ghanem (CVPR, 2017)

A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos. - Baoyuan Wu; Bao-Gang Hu; Qiang Ji (Pattern Recognit., 2017)

CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF. - Linchao Bao; Baoyuan Wu; Wei Liu 005 (CVPR, 2018)

Tagging Like Humans: Diverse and Distinct Image Annotation. - Baoyuan Wu; Weidong Chen; Peng Sun 011; Wei Liu 005; Bernard Ghanem; Siwei Lyu (CVPR, 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 008; Wei Liu 005; Kwang-Ting Cheng (ECCV (15), 2018)

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. - Tim Tsz-Kit Lau; Jinshan Zeng; Baoyuan Wu; Yuan Yao 011 (ICLR (Workshop), 2018)

Multi-label Learning with Missing Labels Using Mixed Dependency Graphs. - Baoyuan Wu; Fan Jia; Wei Liu 005; Bernard Ghanem; Siwei Lyu (Int. J. Comput. Vis., 2018)

Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors. - Shibiao Xu; Xingjia Pan; Er Li; Baoyuan Wu; Shuhui Bu; Weiming Dong; Shiming Xiang; Xiaopeng Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables. - Yan Xu 009; Baoyuan Wu; Fumin Shen; Yanbo Fan; Yong Zhang 034; Heng Tao Shen; Wei Liu 005 (CVPR, 2019)

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. - Yinpeng Dong; Hang Su 006; Baoyuan Wu; Zhifeng Li 001; Wei Liu 005; Tong Zhang 001; Jun Zhu 001 (CVPR, 2019)

Target-Aware Deep Tracking. - Xin Li 034; Chao Ma 004; Baoyuan Wu; Zhenyu He 001; Ming-Hsuan Yang 001 (CVPR, 2019)

Compressing Convolutional Neural Networks via Factorized Convolutional Filters. - Tuanhui Li; Baoyuan Wu; Yujiu Yang; Yanbo Fan; Yong Zhang 034; Wei Liu 005 (CVPR, 2019)

Learning to Compose Dynamic Tree Structures for Visual Contexts. - Kaihua Tang; Hanwang Zhang; Baoyuan Wu; Wenhan Luo; Wei Liu 005 (CVPR, 2019)

Residual Regression With Semantic Prior for Crowd Counting. - Jia Wan 001; Wenhan Luo; Baoyuan Wu; Antoni B. Chan; Wei Liu 005 (CVPR, 2019)

Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. - Yong Zhang 034; Baoyuan Wu; Weiming Dong; Zhifeng Li 001; Wei Liu 005; Bao-Gang Hu; Qiang Ji (CVPR, 2019)

Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data. - Yong Zhang 034; Haiyong Jiang; Baoyuan Wu; Yanbo Fan; Qiang Ji (ICCV, 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 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. - Baoyuan Wu; Weidong Chen; Yanbo Fan; Yong Zhang 034; Jinlong Hou; Jie Liu 036; Tong Zhang 001 (IEEE Access, 2019)

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning. - Baoyuan Wu; Weidong Chen; Yanbo Fan; Yong Zhang 034; Jinlong Hou; Jie Liu 036; Junzhou Huang; Wei Liu 005; Tong Zhang 001 (CoRR, 2019)

MAP Inference via L2-Sphere Linear Program Reformulation. - Baoyuan Wu; Li Shen 008; Bernard Ghanem; Tong Zhang 001 (CoRR, 2019)

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations. - Yuezun Li; Xin Yang 008; Baoyuan Wu; Siwei Lyu (CoRR, 2019)

Constrained K-means with General Pairwise and Cardinality Constraints. - Adel Bibi; Baoyuan Wu; Bernard Ghanem (CoRR, 2019)

Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition. - Yongqiang Li; Baoyuan Wu; Yongping Zhao; Hongxun Yao; Qiang Ji (Multim. Tools Appl., 2019)

ℓpℓp-Box ADMM: A Versatile Framework for Integer Programming. - Baoyuan Wu; Bernard Ghanem (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip. - Weilun Chen; Zhaoxiang Zhang 001; Xiaolin Hu 001; Baoyuan Wu (ECCV (15), 2020)

Sparse Adversarial Attack via Perturbation Factorization. - Yanbo Fan; Baoyuan Wu; Tuanhui Li; Yong Zhang 034; Mingyang Li; Zhifeng Li 001; Yujiu Yang (ECCV (22), 2020)

SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning. - Junbing Li; Changqing Zhang; Pengfei Zhu 001; Baoyuan Wu; Lei Chen 011; Qinghua Hu (ECCV (9), 2020)

Teacher-Student Competition for Unsupervised Domain Adaptation. - Ruixin Xiao; Zhilei Liu; Baoyuan Wu (ICPR, 2020)

Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification. - Chengcheng Ma; Weiliang Meng; Baoyuan Wu; Shibiao Xu; Xiaopeng Zhang 001 (ACM Multimedia, 2020)

Groupwise Ranking Loss for Multi-Label Learning. - Yanbo Fan; Baoyuan Wu; Ran He 001; Bao-Gang Hu; Yong Zhang 034; Siwei Lyu (IEEE Access, 2020)

Pixel-wise Dense Detector for Image Inpainting. - Rui-Song Zhang; Weize Quan; Baoyuan Wu; Zhifeng Li 001; Dong-Ming Yan 001 (Comput. Graph. Forum, 2020)

Controllable Descendant Face Synthesis. - Yong Zhang 034; Le Li; Zhilei Liu; Baoyuan Wu; Yanbo Fan; Zhifeng Li 001 (CoRR, 2020)

Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning. - Zhilei Liu; Yunpeng Wu; Le Li; Cuicui Zhang; Baoyuan Wu (CoRR, 2020)

Toward Adversarial Robustness via Semi-supervised Robust Training. - Yiming Li 004; Baoyuan Wu; Yan Feng; Yanbo Fan; Yong Jiang 001; Zhifeng Li 001; Shutao Xia (CoRR, 2020)

Rethinking the Trigger of Backdoor Attack. - Yiming Li 004; Tongqing Zhai; Baoyuan Wu; Yong Jiang 001; Zhifeng Li 001; Shutao Xia (CoRR, 2020)

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. - Chengcheng Ma; Baoyuan Wu; Shibiao Xu; Yanbo Fan; Yong Zhang 034; Xiaopeng Zhang 001; Zhifeng Li 001 (CoRR, 2020)

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations. - Yan Feng; Baoyuan Wu; Yanbo Fan; Zhifeng Li 001; Shutao Xia (CoRR, 2020)

Backdoor Learning: A Survey. - Yiming Li 004; Baoyuan Wu; Yong Jiang 001; Zhifeng Li 001; Shu-Tao Xia (CoRR, 2020)

Open-sourced Dataset Protection via Backdoor Watermarking. - Yiming Li 004; Ziqi Zhang; Jiawang Bai; Baoyuan Wu; Yong Jiang 001; Shu-Tao Xia (CoRR, 2020)

Dual ResGCN for Balanced Scene GraphGeneration. - Jingyi Zhang 005; Yong Zhang 034; Baoyuan Wu; Yanbo Fan; Fumin Shen; Heng Tao Shen (CoRR, 2020)

TediGAN: Text-Guided Diverse Image Generation and Manipulation. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Baoyuan Wu (CoRR, 2020)

Backdoor Attack with Sample-Specific Triggers. - Yuezun Li; Yiming Li 004; Baoyuan Wu; Longkang Li; Ran He 001; Siwei Lyu (CoRR, 2020)

Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance. - Zechun Liu; Wenhan Luo; Baoyuan Wu; Xin Yang 008; Wei Liu 005; Kwang-Ting Cheng (Int. J. Comput. Vis., 2020)

MAP Inference Via ℓ 2-Sphere Linear Program Reformulation. - Baoyuan Wu; Li Shen 008; Tong Zhang 001; Bernard Ghanem (Int. J. Comput. Vis., 2020)

Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation. - Yuyang Zhang; Shibiao Xu; Baoyuan Wu; Jian Shi; Weiliang Meng; Xiaopeng Zhang 001 (IEEE Trans. Image Process., 2020)

Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. - Xunguang Wang; Zheng Zhang 006; Baoyuan Wu; Fumin Shen; Guangming Lu 002 (CVPR, 2021)

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Baoyuan Wu (CVPR, 2021)

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. - Gengcong Yang; Jingyi Zhang 005; Yong Zhang 034; Baoyuan Wu; Yujiu Yang (CVPR, 2021)

Backdoor Attack Against Speaker Verification. - Tongqing Zhai; Yiming Li 004; Ziqi Zhang; Baoyuan Wu; Yong Jiang 001; Shu-Tao Xia (ICASSP, 2021)

Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack. - Weiwei Feng; Baoyuan Wu; Tianzhu Zhang 001; Yong Zhang 034; Yongdong Zhang 001 (ICCV, 2021)

Invisible Backdoor Attack with Sample-Specific Triggers. - Yuezun Li; Yiming Li 004; Baoyuan Wu; Longkang Li; Ran He 001; Siwei Lyu (ICCV, 2021)

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. - Siyuan Liang; Baoyuan Wu; Yanbo Fan; Xingxing Wei 001; Xiaochun Cao (ICCV, 2021)

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. - Jiawang Bai; Baoyuan Wu; Yong Zhang 034; Yiming Li 004; Zhifeng Li 001; Shu-Tao Xia (ICLR, 2021)

Effective and Efficient Vote Attack on Capsule Networks. - Jindong Gu; Baoyuan Wu; Volker Tresp (ICLR, 2021)

Towards Effective Adversarial Attack Against 3D Point Cloud Classification. - Chengcheng Ma; Weiliang Meng; Baoyuan Wu; Shibiao Xu; Xiaopeng Zhang 001 (ICME, 2021)

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

Customized Summarizations of Visual Data Collections. - Mengke Yuan; Bernard Ghanem; Dong-Ming Yan 001; Baoyuan Wu; Xiaopeng Zhang 001; Peter Wonka (Comput. Graph. Forum, 2021)

Towards Open-World Text-Guided Face Image Generation and Manipulation. - Weihao Xia 001; Yujiu Yang; Jing-Hao Xue; Baoyuan Wu (CoRR, 2021)

Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. - Zeyu Qin; Yanbo Fan; Hongyuan Zha; Baoyuan Wu (CoRR, 2021)

Regional Adversarial Training for Better Robust Generalization. - Chuanbiao Song; Yanbo Fan; Yichen Yang 009; Baoyuan Wu; Yiming Li 004; Zhifeng Li 001; Kun He 001 (CoRR, 2021)

Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. - Yan Feng; Baoyuan Wu; Yanbo Fan; Li Liu 036; Zhifeng Li 001; Shu-Tao Xia (CVPR, 2022)

LAS-AT: Adversarial Training with Learnable Attack Strategy. - Xiaojun Jia; Yong Zhang 034; Baoyuan Wu; Ke Ma 001; Jue Wang 001; Xiaochun Cao (CVPR, 2022)

Prior-Guided Adversarial Initialization for Fast Adversarial Training. - Xiaojun Jia; Yong Zhang 034; Xingxing Wei 001; Baoyuan Wu; Ke Ma 001; Jue Wang 001; Xiaochun Cao (ECCV (4), 2022)

A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. - Siyuan Liang; Longkang Li; Yanbo Fan; Xiaojun Jia; Jingzhi Li 002; Baoyuan Wu; Xiaochun Cao (ECCV (4), 2022)

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN. - Fei Yin; Yong Zhang 034; Xiaodong Cun; Mingdeng Cao; Yanbo Fan; Xuan Wang 009; Qingyan Bai; Baoyuan Wu; Jue Wang 001; Yujiu Yang (ECCV (17), 2022)

Attention Probe: Vision Transformer Distillation in the Wild. - Jiahao Wang; Mingdeng Cao; Shuwei Shi; Baoyuan Wu; Yujiu Yang (ICASSP, 2022)

Backdoor Defense via Decoupling the Training Process. - Kunzhe Huang; Yiming Li 004; Baoyuan Wu; Zhan Qin; Kui Ren 001 (ICLR, 2022)

Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples. - Weixin Chen; Baoyuan Wu; Haoqian Wang (NeurIPS, 2022)

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation. - Zeyu Qin; Yanbo Fan; Yi Liu; Li Shen 008; Yong Zhang 034; Jue Wang 001; Baoyuan Wu (NeurIPS, 2022)

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Chao Shen (NeurIPS, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Chao Shen; Hongyuan Zha (CoRR, 2022)

Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing. - Longkang Li; Baoyuan Wu (CoRR, 2022)

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis. - Jiancong Xiao; Zeyu Qin; Yanbo Fan; Baoyuan Wu; Jue Wang 001; Zhi-Quan Luo (CoRR, 2022)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Xiaochun Cao; Chris Ding; Hongyuan Zha; Baoyuan Wu (CoRR, 2022)

Physically Adversarial Attacks and Defenses in Computer Vision: A Survey. - Xingxing Wei 001; Bangzheng Pu; Jiefan Lu; Baoyuan Wu (CoRR, 2022)

Semi-supervised robust training with generalized perturbed neighborhood. - Yiming Li 004; Baoyuan Wu; Yan Feng; Yanbo Fan; Yong Jiang 001; Zhifeng Li 001; Shu-Tao Xia (Pattern Recognit., 2022)

Boosting Fast Adversarial Training With Learnable Adversarial Initialization. - Xiaojun Jia; Yong Zhang 034; Baoyuan Wu; Jue Wang 001; Xiaochun Cao (IEEE Trans. Image Process., 2022)

Towards Corruption-Agnostic Robust Domain Adaptation. - Yifan Xu 008; Kekai Sheng; Weiming Dong; Baoyuan Wu; Changsheng Xu; Bao-Gang Hu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks. - Qiangqiang Wu; Tianyu Yang 003; Ziquan Liu; Baoyuan Wu; Ying Shan; Antoni B. Chan (CVPR, 2023)

UCF: Uncovering Common Features for Generalizable Deepfake Detection. - Zhiyuan Yan 002; Yong Zhang 034; Yanbo Fan; Baoyuan Wu (ICCV, 2023)

ToonTalker: Cross-Domain Face Reenactment. - Yuan Gong 002; Yong Zhang 034; Xiaodong Cun; Fei Yin; Yanbo Fan; Xuan Wang 009; Baoyuan Wu; Yujiu Yang (ICCV, 2023)

Global Balanced Experts for Federated Long-Tailed Learning. - Yaopei Zeng; Lei Liu 049; Li Liu 036; Li Shen 008; Shaoguo Liu; Baoyuan Wu (ICCV, 2023)

Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. - Mingli Zhu; Shaokui Wei; Li Shen 008; Yanbo Fan; Baoyuan Wu (ICCV, 2023)

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. - Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Baoyuan Wu; Chun Yuan; Dacheng Tao (ICML, 2023)

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection. - Zhiyuan Yan 002; Yong Zhang 034; Xinhang Yuan; Siwei Lyu; Baoyuan Wu (NeurIPS, 2023)

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. - Shaokui Wei; Mingda Zhang; Hongyuan Zha; Baoyuan Wu (NeurIPS, 2023)

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

NOFA: NeRF-based One-shot Facial Avatar Reconstruction. - Wangbo Yu; Yanbo Fan; Yong Zhang 034; Xuan Wang 009; Fei Yin; Yunpeng Bai; Yan-Pei Cao; Ying Shan; Yang Wu 001; Zhongqian Sun; Baoyuan Wu (SIGGRAPH (Conference Paper Track), 2023)

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example. - Baoyuan Wu; Li Liu 036; Zihao Zhu 001; Qingshan Liu; Zhaofeng He; Siwei Lyu (CoRR, 2023)

Inter-frame Accelerate Attack against Video Interpolation Models. - Junpei Liao; Zhikai Chen; Liang Yi; Wenyuan Yang; Baoyuan Wu; Xiaochun Cao (CoRR, 2023)

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers. - Ruotong Wang 008; Hongrui Chen; Zihao Zhu 001; Li Liu 036; Yong Zhang 034; Yanbo Fan; Baoyuan Wu (CoRR, 2023)

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Li Shen 008; Yanbo Fan; Baoyuan Wu (CoRR, 2023)

VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Bingzhe Wu; Baoyuan Wu (CoRR, 2023)

Task-Distributionally Robust Data-Free Meta-Learning. - Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Yongxian Wei; Baoyuan Wu; Chun Yuan; Dacheng Tao (CoRR, 2023)

Defenses in Adversarial Machine Learning: A Survey. - Baoyuan Wu; Shaokui Wei; Mingli Zhu; Meixi Zheng; Zihao Zhu 001; Mingda Zhang; Hongrui Chen; Danni Yuan; Li Liu 036; Qingshan Liu (CoRR, 2023)

Robust Physical-World Attacks on Face Recognition. - Xin Zheng 008; Yanbo Fan; Baoyuan Wu; Yong Zhang 034; Jue Wang 001; Shirui Pan (Pattern Recognit., 2023)

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients. - Chengcheng Ma; Baoyuan Wu; Yanbo Fan; Yong Zhang 034; Zhifeng Li 001 (Mach. Intell. Res., 2023)

TAT: Targeted backdoor attacks against visual object tracking. - Ziyi Cheng; Baoyuan Wu; Zhenya Zhang; Jianjun Zhao 001 (Pattern Recognit., 2023)

Versatile Weight Attack via Flipping Limited Bits. - Jiawang Bai; Baoyuan Wu; Zhifeng Li 001; Shu-Tao Xia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. - Longkang Li; Siyuan Liang; Zihao Zhu 001; Chris Ding; Hongyuan Zha; Baoyuan Wu (AAAI, 2024)

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection. - Zhiyuan Yan 002; Yuhao Luo; Siwei Lyu; Qingshan Liu; Baoyuan Wu (CVPR, 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 002; Yan Ju; Chuanbo Hu; Xin Li 005; Baoyuan Wu; Siwei Lyu (CVPR Workshops, 2024)

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

Decentralized Directed Collaboration for Personalized Federated Learning. - Yingqi Liu; Yifan Shi; Baoyuan Wu; Qinglun Li; Xueqian Wang 001; Li Shen 008 (CVPR, 2024)

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models. - Zihao Zhu 001; Mingda Zhang; Shaokui Wei; Bingzhe Wu; Baoyuan Wu (ICLR, 2024)

Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing. - Zhenzhe Gao; Zhenjun Tang; Zhaoxia Yin; Baoyuan Wu; Yue Lu 001 (ICME, 2024)

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge. - Hanzhe Li; Jiaran Zhou; Yuezun Li; Baoyuan Wu; Bin Li 011; Junyu Dong (NeurIPS, 2024)

Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor. - Shaokui Wei; Hongyuan Zha; Baoyuan Wu (NeurIPS, 2024)

Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack. - Mingli Zhu; Siyuan Liang; Baoyuan Wu (NeurIPS, 2024)

Video-Based Martial Arts Combat Action Recognition and Position Detection Using Deep Learning. - Baoyuan Wu; Jiali Zhou (IEEE Access, 2024)

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models. - Mingli Zhu; Zihao Zhu 001; Sihong Chen; Chen Chen; Baoyuan Wu (CoRR, 2024)

WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition. - Zhengyao Song; Yongqiang Li; Danni Yuan; Li Liu 036; Shaokui Wei; Baoyuan Wu (CoRR, 2024)

Invariant Test-Time Adaptation for Vision-Language Model Generalization. - Huan Ma; Yan Zhu; Changqing Zhang; Peilin Zhao; Baoyuan Wu; Long-Kai Huang; Qinghua Hu; Bingzhe Wu (CoRR, 2024)

Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection. - Chuangchuang Tan; Ping Liu 004; Renshuai Tao; Huan Liu 001; Yao Zhao 001; Baoyuan Wu; Yunchao Wei (CoRR, 2024)

RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents. - Zihao Zhu 001; Bingzhe Wu; Zhengyou Zhang; Baoyuan Wu (CoRR, 2024)

X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection. - Yize Chen; Zhiyuan Yan 002; Siwei Lyu; Baoyuan Wu (CoRR, 2024)

ESpeW: Robust Copyright Protection for LLM-based EaaS via Embedding-Specific Watermark. - Zongqi Wang; Baoyuan Wu; Jingyuan Deng; Yujiu Yang (CoRR, 2024)

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization. - Mingda Zhang; Mingli Zhu; Zihao Zhu 001; Baoyuan Wu (CoRR, 2024)

Effort: Efficient Orthogonal Modeling for Generalizable AI-Generated Image Detection. - Zhiyuan Yan 002; Jiangming Wang; Zhendong Wang; Peng Jin; Ke-Yue Zhang; Shen Chen; Taiping Yao; Shouhong Ding; Baoyuan Wu; Li Yuan (CoRR, 2024)

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection. - Delong Zhu; Yuezun Li; Baoyuan Wu; Jiaran Zhou; Zhibo Wang; Siwei Lyu (CoRR, 2024)

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing. - Zihao Zhu 001; Hongbao Zhang; Guanzong Wu; Siwei Lyu; Baoyuan Wu (CoRR, 2024)

Robust and Generalized Physical Adversarial Attacks via Meta-GAN. - Weiwei Feng; Nanqing Xu; Tianzhu Zhang 001; Baoyuan Wu; Yongdong Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Imperceptible and Robust Backdoor Attack in 3D Point Cloud. - Kuofeng Gao; Jiawang Bai; Baoyuan Wu; Mengxi Ya; Shu-Tao Xia (IEEE Trans. Inf. Forensics Secur., 2024)

HGAIQA: A Novel Hand-Geometry-Aware Image Quality Assessment Framework for Contactless Palmprint Recognition. - Chunsheng Zhang; Xu Liang; Dandan Fan; Junan Chen; Bob Zhang 001; Baoyuan Wu; David Zhang 001 (IEEE Trans. Instrum. Meas., 2024)

Visual Prompt Based Personalized Federated Learning. - Guanghao Li; Wansen Wu; Yan Sun; Li Shen 008; Baoyuan Wu; Dacheng Tao (Trans. Mach. Learn. Res., 2024)

Generalizable Black-Box Adversarial Attack With Meta Learning. - Fei Yin; Yong Zhang 034; Baoyuan Wu; Yan Feng; Jingyi Zhang 005; Yanbo Fan; Yujiu Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Improving Fast Adversarial Training With Prior-Guided Knowledge. - Xiaojun Jia; Yong Zhang 034; Xingxing Wei 001; Baoyuan Wu; Ke Ma 001; Jue Wang 001; Xiaochun Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Regional Adversarial Training for Better Robust Generalization. - Chuanbiao Song; Yanbo Fan; Aoyang Zhou; Baoyuan Wu; Yiming Li 004; Zhifeng Li 001; Kun He 001 (Int. J. Comput. Vis., 2024)

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 (AAAI, 2025)

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection. - Chuangchuang Tan; Renshuai Tao; Huan Liu 001; Guanghua Gu; Baoyuan Wu; Yao Zhao 001; Yunchao Wei (AAAI, 2025)

MorphMark: Flexible Adaptive Watermarking for Large Language Models. - Zongqi Wang; Tianle Gu; Baoyuan Wu; Yujiu Yang (ACL (1), 2025)

Robust and Minimally Invasive Watermarking for EaaS. - Zongqi Wang; Baoyuan Wu; Jingyuan Deng; Yujiu Yang (ACL (Findings), 2025)

SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model. - Zhenglin Huang; Jinwei Hu; Xiangtai Li; Yiwei He; Xingyu Zhao 001; Bei Peng 001; Baoyuan Wu; Xiaowei Huang 001; Guangliang Cheng (CVPR, 2025)

Reliable Imputed-Sample Assisted Vertical Federated Learning. - Yaopei Zeng; Lei Liu 049; Shaoguo Liu; Hongjian Dou; Baoyuan Wu; Li Liu 036 (ICASSP, 2025)

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks. - Danni Yuan; Mingda Zhang; Shaokui Wei; Li Liu 036; Baoyuan Wu (ICLR, 2025)

Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection. - Yunfei Li; Yuezun Li; Xin Wang 068; Baoyuan Wu; Jiaran Zhou; Junyu Dong (WACV, 2025)

Safety at Scale: A Comprehensive Survey of Large Model Safety. - Xingjun Ma; Yifeng Gao; Yixu Wang; Ruofan Wang; Xin Wang; Ye Sun; Yifan Ding; Hengyuan Xu; Yunhao Chen; Yunhan Zhao; Hanxun Huang; Yige Li; et al. (CoRR, 2025)

BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack. - Zihao Zhu 001; Hongbao Zhang; Mingda Zhang; Ruotong Wang 008; Guanzong Wu; Ke Xu; Baoyuan Wu (CoRR, 2025)

Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features. - Mingli Zhu; Shaokui Wei; Hongyuan Zha; Baoyuan Wu (CoRR, 2025)

Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation. - Meixi Zheng; Kehan Wu; Yanbo Fan; Rui Huang; Baoyuan Wu (CoRR, 2025)

BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation. - Ruotong Wang 008; Mingli Zhu; Jiarong Ou; Rui Chen; Xin Tao 001; Pengfei Wan 001; Baoyuan Wu (CoRR, 2025)

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units. - Jian Wang; Baoyuan Wu; Li Liu 036; Qingshan Liu (CoRR, 2025)

BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation. - Haiquan Wen; Yiwei He; Zhenglin Huang; Tianxiao Li; Zihan Yu; Xingru Huang; Lu Qi; Baoyuan Wu; Xiangtai Li; Guangliang Cheng (CoRR, 2025)

Towards Explainable Bilingual Multimodal Misinformation Detection and Localization. - Yiwei He; Xiangtai Li; Zhenglin Huang; Yi Dong; Hao Fei 001; Jiangning Zhang; Baoyuan Wu; Guangliang Cheng (CoRR, 2025)

RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection. - Tianxiao Li; Zhenglin Huang; Haiquan Wen; Yiwei He; Shuchang Lyu; Baoyuan Wu; Guangliang Cheng (CoRR, 2025)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning. - Baoyuan Wu; Hongrui Chen; Mingda Zhang; Zihao Zhu 001; Shaokui Wei; Danni Yuan; Mingli Zhu; Ruotong Wang 008; Li Liu 036; Chao Shen (Int. J. Comput. Vis., 2025)

Hierarchical Fuzzy Stochastic Configuration Network Based on Canonical Correlation Analysis for Multiview Pulse Signal Fusion. - Shicheng Dai; Chenglong Zhang 001; Chaoxun Guo; Baoyuan Wu; David Zhang 001 (IEEE Trans. Fuzzy Syst., 2025)

BlackboxBench: A Comprehensive Benchmark of Black-Box Adversarial Attacks. - Meixi Zheng; Xuanchen Yan; Zihao Zhu 001; Hongrui Chen; Baoyuan Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)