One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework
Shahroz Tariq,
Sangyup Lee,
Simon S. Woo
Abstract:Deep learning-based video manipulation methods have become widely accessible to the masses. With little to no effort, people can quickly learn how to generate deepfake (DF) videos. While deep learning-based detection methods have been proposed to identify specific types of DFs, their performance suffers for other types of deepfake methods, including real-world deepfakes, on which they are not sufficiently trained. In other words, most of the proposed deep learning-based detection methods lack transferability a… Show more
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