DiCoME decomposes entangled representations into decorrelated semantic and artifact views using geometric purification and uncertainty-aware evidential learning to improve generalization and produce calibrated uncertainty in deepfake detection.
arXiv preprint arXiv:2512.04837 , year=
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Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
DiCoME decomposes entangled representations into decorrelated semantic and artifact views using geometric purification and uncertainty-aware evidential learning to improve generalization and produce calibrated uncertainty in deepfake detection.