Physiological Signals as a Forensic Modality for Talking-Face Deepfake Detection

arXiv cs.LG5d4 min read

arXiv:2607.21776v1 Announce Type: new Abstract: Talking-face (TF) deepfake generation synthesizes photore- alistic facial video from a static source image and an au- dio signal, producing forgeries that current image-based detectors consistently fail to identify. Unlike face-swap ma- nipulation, TF synthesis has no underlying real video from which to inherit physiological characteristics, making re- mote photoplethysmography (rPPG) a uniquely motivated detection modality for this forgery category. We propose a detection framework that extracts per-video rPPG wave- forms via RhythmFormer and tr

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Physiological Signals as a Forensic Modality for Talking-Face Deepfake Detection

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