2025
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation.
CoRR, May, 2025
MorphMark: Flexible Adaptive Watermarking for Large Language Models.
CoRR, May, 2025
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units.
CoRR, May, 2025
BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation.
CoRR, April, 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation.
CoRR, April, 2025
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features.
CoRR, February, 2025
BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack.
CoRR, February, 2025
Safety at Scale: A Comprehensive Survey of Large Model Safety.
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CoRR, February, 2025
Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Reliable Imputed-Sample Assisted Vertical Federated Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Regional Adversarial Training for Better Robust Generalization.
Int. J. Comput. Vis., October, 2024
Improving Fast Adversarial Training With Prior-Guided Knowledge.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
Generalizable Black-Box Adversarial Attack With Meta Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024
Visual Prompt Based Personalized Federated Learning.
Trans. Mach. Learn. Res., 2024
HGAIQA: A Novel Hand-Geometry-Aware Image Quality Assessment Framework for Contactless Palmprint Recognition.
IEEE Trans. Instrum. Meas., 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
HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing.
CoRR, 2024
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model.
CoRR, 2024
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection.
CoRR, 2024
Effort: Efficient Orthogonal Modeling for Generalizable AI-Generated Image Detection.
CoRR, 2024
Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization.
CoRR, 2024
ESpeW: Robust Copyright Protection for LLM-based EaaS via Embedding-Specific Watermark.
CoRR, 2024
<i>X</i><sup>2</sup>-DFD: A framework for e<i>X</i>plainable and e<i>X</i>tendable Deepfake Detection.
CoRR, 2024
RiskAwareBench: Towards Evaluating Physical Risk Awareness for High-level Planning of LLM-based Embodied Agents.
CoRR, 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning.
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
WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition.
CoRR, 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models.
CoRR, 2024
Video-Based Martial Arts Combat Action Recognition and Position Detection Using Deep Learning.
IEEE Access, 2024
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Fragile Model Watermark for integrity protection: leveraging boundary volatility and sensitive sample-pairing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Decentralized Directed Collaboration for Personalized Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
Task-Distributionally Robust Data-Free Meta-Learning.
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
Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers.
CoRR, 2023
Inter-frame Accelerate Attack against Video Interpolation Models.
CoRR, 2023
Adversarial Machine Learning: A Systematic Survey of Backdoor Attack, Weight Attack and Adversarial Example.
CoRR, 2023
NOFA: NeRF-based One-shot Facial Avatar Reconstruction.
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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.
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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