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cs.CV2025
Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes
Ziheng Qin, Yuheng Ji, Renshuai Tao +4
The pursuit of a universal AI-generated image (AIGI) detector often relies on aggregating data from numerous generators to improve generalization. However, this paper identifies a…
cs.CV2025
Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
Shibo Yao, Renshuai Tao, Xiaolong Zheng +2
Recent deepfake detection studies often treat unseen sample detection as a ``zero-shot" task, training on images generated by known models but generalizing to unknown ones. A key r…
cs.CV2025
Leveraging Unlabeled Data from Unknown Sources via Dual-Path Guidance for Deepfake Face Detection
Zhiqiang Yang, Renshuai Tao, Chunjie Zhang +3
Existing deepfake detection methods heavily rely on static labeled datasets. However, with the proliferation of generative models, real-world scenarios are flooded with massive amo…