Nomica Choudhry

CDD-RFLNet: Continual Disagreement-Distilled Residual-Feature Learning for Open-World Deepfake-Video Detection

Deepfake detectors are usually trained on a fixed collection of manipulation methods, although synthetic video generation continues to evolve after deployment. This paper presents CDD-RFLNet, a continual open-world framework that combines RGB, constrained-residual, temporal-change, and forensic-disagreement cues. A cal...