WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

MM '20: The 28th ACM International Conference on Multimedia Seattle WA USA October, 2020, pp. 2382-2390, 2020.

Cited by: 0|Bibtex|Views26|DOI:https://doi.org/10.1145/3394171.3413769
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Other Links: dl.acm.org|arxiv.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In recent years, the abuse of a face swap technique called deepfake has raised enormous public concerns. So far, a large number of deepfake videos (known as "deepfakes") have been crafted and uploaded to the internet, calling for effective countermeasures. One promising countermeasure against deepfakes is deepfake detection. Several deepf...More

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