Fair-FLIP improves fairness parity in deepfake detection by reweighting final-layer features based on between-ethnicity variance, with negligible accuracy loss.
Deep fakes: A looming challenge for privacy, democracy, and national security,
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Fair-FLIP: Fair Deepfake Detection with Fairness-Oriented Final Layer Input Prioritising
Fair-FLIP improves fairness parity in deepfake detection by reweighting final-layer features based on between-ethnicity variance, with negligible accuracy loss.