7 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors
Long Tang, Dengpan Ye, Zhenhao Lu +4
Adversarial example is a rising way of protecting facial privacy security from deepfake modification. To prevent massive facial images from being illegally modified by various deep…