Baoyuan Wu

发表

Invisible Backdoor Attack with Sample-Specific Triggers

Siwei Lyu, Baoyuan Wu, Ran He, 2020, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Constrained Submodular Minimization Towards Missing Labels and Class Imbalance in Multi-label Learning ( Supplementary Material )

Baoyuan Wu, Bernard Ghanem, Bernard Ghanem, 2015 .

Boosting Fast Adversarial Training with Learnable Adversarial Initialization

Xiaochun Cao, Xiaojun Jia, Baoyuan Wu, 2021, ArXiv.

Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing

Baoyuan Wu, Longkang Li, 2022, ArXiv.

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Yatao Bian, Zibin Zheng, Junzhou Huang, 2022, ArXiv.

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

H. Zha, Zihao Zhu, Baoyuan Wu, 2022, 2206.12654.

Prior-Guided Adversarial Initialization for Fast Adversarial Training

Xingxing Wei, Xiaojun Jia, Baoyuan Wu, 2022, ECCV.

MAP Inference Via ℓ2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell _2$$\end{document}-Sphere Linear Program Refo

Tong Zhang, T. Zhang, Bernard Ghanem, 2019, International Journal of Computer Vision.

Versatile Weight Attack via Flipping Limited Bits

Zhifeng Li, Shutao Xia, Baoyuan Wu, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Large-scale Multiple-objective Method for Black-box Attack against Object Detection

Xiaojun Jia, Baoyuan Wu, Longkang Li, 2022, ECCV.

Boosting Fast Adversarial Training With Learnable Adversarial Initialization

Xiaochun Cao, Xiaojun Jia, Baoyuan Wu, 2021, IEEE Transactions on Image Processing.

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

H. Zha, Zihao Zhu, Baoyuan Wu, 2022, NeurIPS.

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning

Zihao Zhu, Baoyuan Wu, Longkang Li, 2022, ArXiv.

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Li Shen, Yanbo Fan, Baoyuan Wu, 2022, NeurIPS.

Physically Adversarial Attacks and Defenses in Computer Vision: A Survey

Xingxing Wei, Baoyuan Wu, Bangzheng Pu, 2022, ArXiv.

Generalizable Black-Box Adversarial Attack With Meta Learning

Yan Feng, Yong Zhang, Yujiu Yang, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition

Q. Ji, H. Yao, Yongqiang Li, 2019, Multimedia Tools and Applications.

Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation

Baoyuan Wu, Weiming Dong, Bao-Gang Hu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing

Baoyuan Wu, Fumin Shen, Guangming Lu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition

Qiang Ji, Baoyuan Wu, Hongxun Yao, 2019, Multimedia Tools and Applications.

Facial action unit recognition under incomplete data based on multi-label learning with missing labels

Qiang Ji, Baoyuan Wu, Bernard Ghanem, 2016, Pattern Recognit..

Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning

Baoyuan Wu, Bernard Ghanem, Siwei Lyu, 2016, AAAI.

ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph

Baoyuan Wu, Bernard Ghanem, Siwei Lyu, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Multi-label Learning with Missing Labels

Qiang Ji, Baoyuan Wu, Bao-Gang Hu, 2014, 2014 22nd International Conference on Pattern Recognition.

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-Box ADMM: A Versatile Framework for Integer Programming

Baoyuan Wu, Bernard Ghanem, Bernard Ghanem, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Backdoor Learning: A Survey pdf

Yong Jiang, Shu-Tao Xia, Yiming Li, 2020, IEEE transactions on neural networks and learning systems.

Learning to Compose Dynamic Tree Structures for Visual Contexts

Wei Liu, Baoyuan Wu, Wenhan Luo, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

Baoyuan Wu, Weihao Xia, Yujiu Yang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TediGAN: Text-Guided Diverse Image Generation and Manipulation pdf

Baoyuan Wu, Yujiu Yang, Jing-Hao Xue, 2020, ArXiv.

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm pdf

Wei Liu, Baoyuan Wu, Xin Yang, 2018, ECCV.

The Seventh Visual Object Tracking VOT2019 Challenge Results

Zhenyu He, Li, Fahad Shahbaz Khan, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Random Noise Defense Against Query-Based Black-Box Attacks

H. Zha, Baoyuan Wu, Yanbo Fan, 2021, NeurIPS.

Controllable Descendant Face Synthesis pdf

Yong Zhang, Baoyuan Wu, Yanbo Fan, 2020, ArXiv.

Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip

Baoyuan Wu, Xiaolin Hu, Zhaoxiang Zhang, 2020, ECCV.

Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples

Baoyuan Wu, Weixin Chen, Haoqian Wang, 2022, NeurIPS.

Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization

Li Shen, Baoyuan Wu, Yanbo Fan, 2023, ArXiv.

TAT: Targeted Backdoor Attacks against Visual Object Tracking

Zhenya Zhang, Baoyuan Wu, Ziyi Cheng, 2023, Pattern Recognition.

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example

Zihao Zhu, Siwei Lyu, Baoyuan Wu, 2023, ArXiv.

Backdoor Defense via Decoupling the Training Process

Baoyuan Wu, Yiming Li, Zhan Qin, 2022, ICLR.

Backdoor Attack Against Speaker Verification pdf

Yong Jiang, Ziqi Zhang, Baoyuan Wu, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Target-Aware Deep Tracking

Zhenyu He, Xin Li, Baoyuan Wu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Residual Regression With Semantic Prior for Crowd Counting

Baoyuan Wu, Wenhan Luo, Antoni B. Chan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation

Baoyuan Wu, Yujiu Yang, Jingyi Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Visual Prompt Based Personalized Federated Learning

Baoyuan Wu, Dacheng Tao, Li Shen, 2023, ArXiv.

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations pdf

Baoyuan Wu, Siwei Lyu, Xin Yang, 2019, ArXiv.

Imperceptible and Robust Backdoor Attack in 3D Point Cloud

Shutao Xia, Baoyuan Wu, Jiawang Bai, 2022, IEEE Transactions on Information Forensics and Security.

Hidden Backdoor Attack against Semantic Segmentation Models

Shutao Xia, Yong Jiang, Baoyuan Wu, 2021, ArXiv.

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

Baoyuan Wu, Tong Zhang, Jie Liu, 2019, IEEE Access.

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN

Yujiu Yang, Yanbo Fan, Yujiu Yang, 2022, ECCV.

LAS-AT: Adversarial Training with Learnable Attack Strategy

Xiaojun Jia, Baoyuan Wu, Jue Wang, 2022, Computer Vision and Pattern Recognition.

Rethinking the Trigger of Backdoor Attack

Zhifeng Li, Yong Jiang, Shutao Xia, 2020, ArXiv.

Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification

Xiaopeng Zhang, Weiliang Meng, Shibiao Xu, 2020, ACM Multimedia.

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits pdf

Baoyuan Wu, Jiawang Bai, Yiming Li, 2021, ICLR.

Compressing Convolutional Neural Networks via Factorized Convolutional Filters

Baoyuan Wu, Yujiu Yang, Tuanhui Li, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

Wei Liu, Baoyuan Wu, Jun Zhu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack

Tianzhu Zhang, Baoyuan Wu, Yong Zhang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Robust Physical-World Attacks on Face Recognition pdf

Shirui Pan, Yong Zhang, Xin Zheng, 2021, Pattern Recognit..

Attention Probe: Vision Transformer Distillation in the Wild

Shu Shi, Yujiu Yang, Baoyuan Wu, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation

Baoyuan Wu, Weiliang Meng, Shibiao Xu, 2020, IEEE Transactions on Image Processing.

DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks

Antoni B. Chan, Ying Shan, Tianyu Yang, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Groupwise Ranking Loss for Multi-Label Learning

Baoyuan Wu, Siwei Lyu, Yanbo Fan, 2020, IEEE Access.

Open-sourced Dataset Protection via Backdoor Watermarking pdf

Baoyuan Wu, Jiawang Bai, Yiming Li, 2020, ArXiv.

Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables

Baoyuan Wu, Heng Tao Shen, Fumin Shen, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data

Yong Zhang, Baoyuan Wu, Yanbo Fan, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Dual ResGCN for Balanced Scene GraphGeneration pdf

Baoyuan Wu, Yong Zhang, Heng Tao Shen, 2020, ArXiv.

Backdoor Attack with Sample-Specific Triggers pdf

Siwei Lyu, Baoyuan Wu, Yiming Li, 2020, ArXiv.

Constrained Clustering and Its Application to Face Clustering in Videos

Qiang Ji, Yifan Zhang, Baoyuan Wu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis

Yanbo Fan, Baoyuan Wu, Jue Wang, 2022, arXiv.org.

Tagging Like Humans: Diverse and Distinct Image Annotation

Wei Liu, Baoyuan Wu, Bernard Ghanem, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Sparse Adversarial Attack via Perturbation Factorization

Baoyuan Wu, Yujiu Yang, Mingyang Li, 2020, ECCV.

Regional Adversarial Training for Better Robust Generalization pdf

Kun He, Zhifeng Li, Baoyuan Wu, 2021, International Journal of Computer Vision.

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

Xingxing Wei, Siyuan Liang, Baoyuan Wu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Multi-label Learning with Missing Labels Using Mixed Dependency Graphs

Wei Liu, Baoyuan Wu, Bernard Ghanem, 2018, International Journal of Computer Vision.

Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance

Wei Liu, Baoyuan Wu, Xin Yang, 2018, International Journal of Computer Vision.

Visually Adversarial Attacks and Defenses in the Physical World: A Survey

Xingxing Wei, Baoyuan Wu, Bangzheng Pu, 2022, 2211.01671.

Improving Fast Adversarial Training with Prior-Guided Knowledge

Xingxing Wei, Xiaojun Jia, Baoyuan Wu, 2023, IEEE transactions on pattern analysis and machine intelligence.

Diverse Image Annotation

Wei Liu, Baoyuan Wu, Bernard Ghanem, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Visually Adversarial Attacks and Defenses in the Physical World: A Survey

Xingxing Wei, Baoyuan Wu, Bangzheng Pu, 2022, 2211.01671.

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy

Li Shen, Mingda Zhang, Zihao Zhu, 2023, arXiv.org.

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples

H. Zha, Mingda Zhang, Baoyuan Wu, 2023, NeurIPS.

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers

Zihao Zhu, Yanbo Fan, Baoyuan Wu, 2023, ArXiv.

Semi-supervised robust training with generalized perturbed neighborhood

Yan Feng, Zhifeng Li, Shutao Xia, 2022, Pattern Recognit..

Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution

Yan Feng, Zhifeng Li, Shutao Xia, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Pixel‐wise Dense Detector for Image Inpainting

Baoyuan Wu, Dong-Ming Yan, Zhifeng Li, 2020, Comput. Graph. Forum.

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition

W. Liu, Tong Zhang, Jun Zhu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Open-World Text-Guided Face Image Generation and Manipulation pdf

Baoyuan Wu, Jing-Hao Xue, Weihao Xia, 2021, ArXiv.

Effective and Efficient Vote Attack on Capsule Networks

Volker Tresp, Baoyuan Wu, Jindong Gu, 2021, ICLR.

Inter-frame Accelerate Attack against Video Interpolation Models

Zhikai Chen, Baoyuan Wu, Wenyuan Yang, 2023, arXiv.org.

CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF

Wei Liu, Baoyuan Wu, Linchao Bao, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

NOFA: NeRF-based One-shot Facial Avatar Reconstruction

Zhongqian Sun, Yong Zhang, Yanbo Fan, 2023, SIGGRAPH.

SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning pdf

Lei Chen, Baoyuan Wu, Qinghua Hu, 2020, ECCV.

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Yanbo Fan, Baoyuan Wu, Jue Wang, 2022, NeurIPS.

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning

Chun Yuan, Baoyuan Wu, Zhenyi Wang, 2023, ICML.

Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos

Qiang Ji, Baoyuan Wu, Bao-Gang Hu, 2013, 2013 IEEE International Conference on Computer Vision.

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Siwei Lyu, Baoyuan Wu, Zhi Yan, 2023, ArXiv.

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training pdf

Yuan Yao, Baoyuan Wu, Jinshan Zeng, 2018, ICLR.

Towards Effective Adversarial Attack Against 3D Point Cloud Classification

Baoyuan Wu, Weiliang Meng, Shibiao Xu, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors

Baoyuan Wu, Shiming Xiang, Weiming Dong, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Toward Adversarial Robustness via Semi-supervised Robust Training pdf

Baoyuan Wu, Yiming Li, Yong Jiang, 2020, ArXiv.

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Siwei Lyu, Baoyuan Wu, Zhi Yan, 2023, NeurIPS.

UCF: Uncovering Common Features for Generalizable Deepfake Detection

Yanbo Fan, Baoyuan Wu, Yong Zhang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Customized Summarizations of Visual Data Collections

Bernard Ghanem, Peter Wonka, Baoyuan Wu, 2021, Comput. Graph. Forum.

Backdoor Learning: A Survey

Zhifeng Li, Shutao Xia, Yong Jiang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

lp-Box ADMM: A Versatile Framework for Integer Programming.

Bernard Ghanem, Baoyuan Wu, 2016, IEEE transactions on pattern analysis and machine intelligence.

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations pdf

Baoyuan Wu, Shutao Xia, Zhifeng Li, 2020, ArXiv.

CG-ATTACK: Modeling the Conditional Distribution of Adversarial Perturbations to Boost Black-Box Attack.

Yan Feng, Zhifeng Li, Shutao Xia, 2020 .

Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers

Zihao Zhu, Yanbo Fan, Baoyuan Wu, 2023, 2306.00816.

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective

Zihao Zhu, Siwei Lyu, Baoyuan Wu, 2023, 2302.09457.