The paper argues that demographic fairness interventions can causally improve cross-domain generalization in deepfake detection and introduces DAID to achieve both, but the causal evidence is flawed.
Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection
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Fair Deepfake Detectors Can Generalize
The paper argues that demographic fairness interventions can causally improve cross-domain generalization in deepfake detection and introduces DAID to achieve both, but the causal evidence is flawed.