A data-augmentation method for deepfake detection that adds diverse pseudo-fakes and strong degradations during training, increasing robustness and low-quality benchmark AUC at a slight cost on clean high-quality data.
End-to-end reconstruction- classification learning for face forgery detection
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Practical Manipulation Model for Robust Deepfake Detection
A data-augmentation method for deepfake detection that adds diverse pseudo-fakes and strong degradations during training, increasing robustness and low-quality benchmark AUC at a slight cost on clean high-quality data.