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Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
March 5, 2024, 2:49 p.m. | Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren
cs.CV updates on arXiv.org arxiv.org
Abstract: Deepfake technology has given rise to a spectrum of novel and compelling applications. Unfortunately, the widespread proliferation of high-fidelity fake videos has led to pervasive confusion and deception, shattering our faith that seeing is believing. One aspect that has been overlooked so far is that current deepfake detection approaches may easily fall into the trap of overfitting, focusing only on forgery clues within one or a few local regions. Moreover, existing works heavily rely on …
abstract applications arxiv cs.cv cs.it deception deepfake detection fake fidelity forgery math.it novel spectrum technology type videos
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