Shibo Yao

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection

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 real-world challenge arises when a model performs poorly on unknown samples, yet these samples remain available for analy