AMDD achieves 99.7% balanced accuracy and 99.8% AUC on FakeAVCeleb by using cross-modal forensic fingerprint consistency loss to align generator-specific artifacts across modalities while also reporting 95.9% attribution accuracy.
FakeA VCeleb: A novel audio-video multimodal deepfake dataset,
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Attribution-Guided Multimodal Deepfake Detection via Cross-Modal Forensic Fingerprints
AMDD achieves 99.7% balanced accuracy and 99.8% AUC on FakeAVCeleb by using cross-modal forensic fingerprint consistency loss to align generator-specific artifacts across modalities while also reporting 95.9% attribution accuracy.