most citedFeature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors

7 citations · 16 across the 6 of their papers we have counts for

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cs.CV2024

Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks

Yunna Lv, Long Tang, Dengpan Ye +3

Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve the efficiency of facial matching. However, it also carries the danger of exposing priva…

cs.CV2024

Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection

Caiyun Xie, Dengpan Ye, Yunming Zhang +4

The security of AI-generated content (AIGC) detection is crucial for ensuring multimedia content credibility. To enhance detector security, research on adversarial attacks has beco…

cs.CV2024

StyleMark: A Robust Watermarking Method for Art Style Images Against Black-Box Arbitrary Style Transfer

Yunming Zhang, Dengpan Ye, Sipeng Shen +1

Arbitrary Style Transfer (AST) achieves the rendering of real natural images into the painting styles of arbitrary art style images, promoting art communication. However, misuse of…

cs.CV2024

Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detection

Jiawei Song, Dengpan Ye, Yunming Zhang

Artificial Intelligence Generated Content (AIGC) techniques, represented by text-to-image generation, have led to a malicious use of deep forgeries, raising concerns about the trus…

cs.CV20241 cited

AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies

Rui Wang, Dengpan Ye, Long Tang +2

With the continuous improvements of deepfake methods, forgery messages have transitioned from single-modality to multi-modal fusion, posing new challenges for existing forgery dete…

cs.CV20232 cited

Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping

Yunming Zhang, Dengpan Ye, Caiyun Xie +4

The malicious applications of deep forgery, represented by face swapping, have introduced security threats such as misinformation dissemination and identity fraud. While some resea…