A chronological continual learning study finds deepfake detectors retain past knowledge but generalize to future generators at near-random AUC around 0.5.
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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization
A chronological continual learning study finds deepfake detectors retain past knowledge but generalize to future generators at near-random AUC around 0.5.