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Baoyuan Wu

Chinese University of Hong Kong, School of Data Science, Shenzhen,China

20 papers at tracked venues · 19 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
  2. BadVideo: Stealthy Backdoor Attack Against Text-to-Video Generation
  3. C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
  4. MorphMark: Flexible Adaptive Watermarking for Large Language Models
  5. Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
  6. RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection
  7. Robust and Minimally Invasive Watermarking for EaaS
  8. SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
  9. Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model
  10. Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection
  11. X2-DFD: A framework for explainable and extendable Deepfake Detection
  12. BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
  13. Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
  14. Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
  15. Decentralized Directed Collaboration for Personalized Federated Learning
  16. FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
  17. Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning
  18. Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
  19. Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
  20. VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models