Baoyuan Wu

Orcid: 0000-0003-2183-5990

Affiliations:
  • Chinese University of Hong Kong, School of Data Science, Shenzhen,China
  • Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China (PhD 2014)


According to our database1, Baoyuan Wu authored at least 136 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Generalizable Black-Box Adversarial Attack With Meta Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Imperceptible and Robust Backdoor Attack in 3D Point Cloud.
IEEE Trans. Inf. Forensics Secur., 2024

Robust and Generalized Physical Adversarial Attacks via Meta-GAN.
IEEE Trans. Inf. Forensics Secur., 2024

Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics.
CoRR, 2024

Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection.
CoRR, 2024

Invariant Test-Time Adaptation for Vision-Language Model Generalization.
CoRR, 2024

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.
CoRR, 2024

WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition.
CoRR, 2024

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models.
CoRR, 2024

Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Versatile Weight Attack via Flipping Limited Bits.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

TAT: Targeted backdoor attacks against visual object tracking.
Pattern Recognit., October, 2023

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients.
Mach. Intell. Res., October, 2023

Robust Physical-World Attacks on Face Recognition.
Pattern Recognit., 2023

BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks.
CoRR, 2023

Defenses in Adversarial Machine Learning: A Survey.
CoRR, 2023

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks.
CoRR, 2023

Task-Distributionally Robust Data-Free Meta-Learning.
CoRR, 2023

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection.
CoRR, 2023

VDC: Versatile Data Cleanser for Detecting Dirty Samples via Visual-Linguistic Inconsistency.
CoRR, 2023

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy.
CoRR, 2023

NOFA: NeRF-based One-shot Facial Avatar Reconstruction.
CoRR, 2023

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers.
CoRR, 2023

Inter-frame Accelerate Attack against Video Interpolation Models.
CoRR, 2023

UCF: Uncovering Common Features for Generalizable Deepfake Detection.
CoRR, 2023

Improving Fast Adversarial Training with Prior-Guided Knowledge.
CoRR, 2023

Visual Prompt Based Personalized Federated Learning.
CoRR, 2023

Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example.
CoRR, 2023

Generalizable Black-Box Adversarial Attack with Meta Learning.
CoRR, 2023

NOFA: NeRF-based One-shot Facial Avatar Reconstruction.
Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning.
Proceedings of the International Conference on Machine Learning, 2023

Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Global Balanced Experts for Federated Long-Tailed Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ToonTalker: Cross-Domain Face Reenactment.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UCF: Uncovering Common Features for Generalizable Deepfake Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Towards Corruption-Agnostic Robust Domain Adaptation.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Boosting Fast Adversarial Training With Learnable Adversarial Initialization.
IEEE Trans. Image Process., 2022

Semi-supervised robust training with generalized perturbed neighborhood.
Pattern Recognit., 2022

Physically Adversarial Attacks and Defenses in Computer Vision: A Survey.
CoRR, 2022

Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning.
CoRR, 2022

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis.
CoRR, 2022

Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing.
CoRR, 2022

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.
CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR, 2022

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Backdoor Defense via Decoupling the Training Process.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Attention Probe: Vision Transformer Distillation in the Wild.
Proceedings of the IEEE International Conference on Acoustics, 2022

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN.
Proceedings of the Computer Vision - ECCV 2022, 2022

A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Prior-Guided Adversarial Initialization for Fast Adversarial Training.
Proceedings of the Computer Vision - ECCV 2022, 2022

LAS-AT: Adversarial Training with Learnable Attack Strategy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Regional Adversarial Training for Better Robust Generalization.
CoRR, 2021

Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks.
CoRR, 2021

Towards Open-World Text-Guided Face Image Generation and Manipulation.
CoRR, 2021

Customized Summarizations of Visual Data Collections.
Comput. Graph. Forum, 2021

Random Noise Defense Against Query-Based Black-Box Attacks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Effective Adversarial Attack Against 3D Point Cloud Classification.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Effective and Efficient Vote Attack on Capsule Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits.
Proceedings of the 9th International Conference on Learning Representations, 2021

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Invisible Backdoor Attack with Sample-Specific Triggers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Backdoor Attack Against Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2021

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation.
IEEE Trans. Image Process., 2020

MAP Inference Via ℓ <sub>2</sub>-Sphere Linear Program Reformulation.
Int. J. Comput. Vis., 2020

Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance.
Int. J. Comput. Vis., 2020

Backdoor Attack with Sample-Specific Triggers.
CoRR, 2020

TediGAN: Text-Guided Diverse Image Generation and Manipulation.
CoRR, 2020

Dual ResGCN for Balanced Scene GraphGeneration.
CoRR, 2020

Open-sourced Dataset Protection via Backdoor Watermarking.
CoRR, 2020

Backdoor Learning: A Survey.
CoRR, 2020

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations.
CoRR, 2020

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients.
CoRR, 2020

Rethinking the Trigger of Backdoor Attack.
CoRR, 2020

Toward Adversarial Robustness via Semi-supervised Robust Training.
CoRR, 2020

Joint Face Completion and Super-resolution using Multi-scale Feature Relation Learning.
CoRR, 2020

Controllable Descendant Face Synthesis.
CoRR, 2020

Pixel-wise Dense Detector for Image Inpainting.
Comput. Graph. Forum, 2020

Groupwise Ranking Loss for Multi-Label Learning.
IEEE Access, 2020

Efficient Joint Gradient Based Attack Against SOR Defense for 3D Point Cloud Classification.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Teacher-Student Competition for Unsupervised Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Sparse Adversarial Attack via Perturbation Factorization.
Proceedings of the Computer Vision - ECCV 2020, 2020

Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
ℓ<sub>p</sub>ℓp-Box ADMM: A Versatile Framework for Integer Programming.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Handling missing labels and class imbalance challenges simultaneously for facial action unit recognition.
Multim. Tools Appl., 2019

Constrained K-means with General Pairwise and Cardinality Constraints.
CoRR, 2019

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations.
CoRR, 2019

MAP Inference via L2-Sphere Linear Program Reformulation.
CoRR, 2019

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.
CoRR, 2019

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.
IEEE Access, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Residual Regression With Semantic Prior for Crowd Counting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Compose Dynamic Tree Structures for Visual Contexts.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Compressing Convolutional Neural Networks via Factorized Convolutional Filters.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Target-Aware Deep Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors.
IEEE Trans. Geosci. Remote. Sens., 2018

Multi-label Learning with Missing Labels Using Mixed Dependency Graphs.
Int. J. Comput. Vis., 2018

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training.
Proceedings of the 6th International Conference on Learning Representations, 2018

Bi-Real Net: Enhancing the Performance of 1-Bit CNNs with Improved Representational Capability and Advanced Training Algorithm.
Proceedings of the Computer Vision - ECCV 2018, 2018

Tagging Like Humans: Diverse and Distinct Image Annotation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Coupled Hidden Markov Random Field model for simultaneous face clustering and tracking in videos.
Pattern Recognit., 2017

Diverse Image Annotation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos.
IEEE Trans. Image Process., 2016

Facial action unit recognition under incomplete data based on multi-label learning with missing labels.
Pattern Recognit., 2016

ℓ<sub>p</sub>-Box ADMM: A Versatile Framework for Integer Programming.
CoRR, 2016

Structural Design of Multi-joint Foldable Robot Manipulator for Remote Inspection in Experimental Advanced Superconducting Tokamak (EAST).
Proceedings of the Intelligent Autonomous Systems 14, 2016

Control System Design and Implementation of Flexible Multi-joint Snake-Like Robot for Inspecting Vessel.
Proceedings of the Intelligent Autonomous Systems 14, 2016

Research on the Tokamak Equipment CAsk (TECA) for Remote Handling in Experimental Advanced Superconducting Tokamak (EAST).
Proceedings of the Intelligent Autonomous Systems 14, 2016

Constrained Submodular Minimization for Missing Labels and Class Imbalance in Multi-label Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Multi-label learning with missing labels for image annotation and facial action unit recognition.
Pattern Recognit., 2015

ML-MG: Multi-label Learning with Missing Labels Using a Mixed Graph.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Signal Processing and Application of Six-axis Force/Torque Sensor Integrated in Humanoid Robot Foot.
J. Signal Process. Syst., 2014

Multi-label Learning with Missing Labels.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Constrained Clustering and Its Application to Face Clustering in Videos.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Development of an Integrated Perceptual foot System for Humanoid Robots.
Int. J. Robotics Autom., 2012

A Novel F-Pad for Handwriting Force Information Acquisition.
Proceedings of the Intelligent Computing Theories and Applications, 2012

2011
Density and neighbor Adaptive Information Theoretic Clustering.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2007
Design of the force-sensors system of WPAL.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007

2006
A PAWL for Enhancing Strength and Endurance during Walking Using Interaction Force and Dynamical Information.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006


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