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Feb, 2024
用于增强深度伪造检测的掩码条件扩散模型
Masked Conditional Diffusion Model for Enhancing Deepfake Detection
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Tiewen Chen, Shanmin Yang, Shu Hu, Zhenghan Fang, Ying Fu...
TL;DR
本研究提出一种基于扩散模型的数据增强方法，通过生成多样化的伪造人脸图像，帮助提升深度伪造检测模型的性能。实验证明，所采用方法生成的伪造图像质量高，并能有效改善深度伪造检测模型的性能。
Abstract
Recent studies on
deepfake detection
have achieved promising results when training and testing faces are from the same dataset. However, their results severely degrade when confronted with
forged samples
that the
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