Baoyuan Wu
63 papers · 2013–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (7)
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(7)
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(8)
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Taxonomy Completionist
(86)
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Conference Loyalist
(22)
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Dynamic Duo
(15)
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Deep Specialist
(16)
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Keyword Champion
(7)
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Grand Slam
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Century Club
(63)
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Conference Pioneer
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Unstoppable
(9)
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Prolific Year
(10)
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Trend Setter
ποΈ
Keyword Collector
(235)
Conferences
CVPR (22)
ICCV (11)
NIPS (10)
ECCV (7)
ICLR (5)
AAAI (3)
ACL (2)
ICML (2)
WACV (1)
Top co-authors
Research topics
Keywords
backdoor attack
(8)
backdoor defense
(7)
adversarial attack
(7)
deepfake detection
(6)
convolutional neural network
(5)
black-box attack
(5)
adversarial example
(5)
domain generalization
(4)
model security
(4)
representation learning
(4)
image classification
(3)
adversarial learning
(3)
generative adversarial network
(3)
contrastive learning
(2)
deep learning
(2)
feature learning
(2)
scene graph generation
(2)
adversarial training
(2)
image annotation
(2)
data augmentation
(2)
Papers
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
CVPR 2025
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
AAAI 2025
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
AAAI 2025
MorphMark: Flexible Adaptive Watermarking for Large Language Models
ACL 2025
Robust and Minimally Invasive Watermarking for EaaS
ACL 2025
Texture Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection
WACV 2025
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
ICML 2025
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
ICLR 2025
BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation
ICCV 2025
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
NIPS 2024
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
AAAI 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
CVPR 2024
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
CVPR 2024
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
ICLR 2024
Decentralized Directed Collaboration for Personalized Federated Learning
CVPR 2024
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
NIPS 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
NIPS 2024
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features
NIPS 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
NIPS 2023
Global Balanced Experts for Federated Long-Tailed Learning
ICCV 2023
UCF: Uncovering Common Features for Generalizable Deepfake Detection
ICCV 2023
ToonTalker: Cross-Domain Face Reenactment
ICCV 2023
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization
ICCV 2023
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
NIPS 2023
DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks
CVPR 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
ICML 2023
Boosting Black-Box Attack With Partially Transferred Conditional Adversarial Distribution
CVPR 2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
ECCV 2022
Backdoor Defense via Decoupling the Training Process
ICLR 2022
Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples
NIPS 2022
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning
NIPS 2022
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
ECCV 2022
A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection
ECCV 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
NIPS 2022
Accelerating Neural Network Optimization Through an Automated Control Theory Lens
CVPR 2022
LAS-AT: Adversarial Training With Learnable Attack Strategy
CVPR 2022
Effective and Efficient Vote Attack on Capsule Networks
ICLR 2021
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing
CVPR 2021
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
CVPR 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation
CVPR 2021
Invisible Backdoor Attack With Sample-Specific Triggers
ICCV 2021
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack
ICCV 2021
Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection
ICCV 2021
Random Noise Defense Against Query-Based Black-Box Attacks
NIPS 2021
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
ICLR 2021
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning
ECCV 2020
Sparse Adversarial Attack via Perturbation Factorization
ECCV 2020
Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip
ECCV 2020
Target-Aware Deep Tracking
CVPR 2019
Residual Regression With Semantic Prior for Crowd Counting
CVPR 2019
Compressing Convolutional Neural Networks via Factorized Convolutional Filters
CVPR 2019
Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation
CVPR 2019
Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data
ICCV 2019
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition
CVPR 2019
Learning to Compose Dynamic Tree Structures for Visual Contexts
CVPR 2019
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables
CVPR 2019
CNN in MRF: Video Object Segmentation via Inference in a CNN-Based Higher-Order Spatio-Temporal MRF
CVPR 2018
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm
ECCV 2018
Tagging Like Humans: Diverse and Distinct Image Annotation
CVPR 2018
Diverse Image Annotation
CVPR 2017
ML-MG: Multi-Label Learning With Missing Labels Using a Mixed Graph
ICCV 2015
Constrained Clustering and Its Application to Face Clustering in Videos
CVPR 2013
Simultaneous Clustering and Tracklet Linking for Multi-face Tracking in Videos
ICCV 2013