Author

Othmane Harraq

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#artificial intelligence Preprint Sep 2026

Complementary rPPG-Derived and Lip-Region Frequency Cues for Talking-Face Deepfake Detection

Two lightweight visual-only cues, rPPG-derived waveforms extracted by RhythmFormer and lip-region discrete cosine transform (DCT) coefficients, are studied on the seven TF methods of Celeb-DF++ under a subject-independent protocol.

Othmane Harraq, Tamer Aldwairi · 0 citations

Jul 2026

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

A detection framework is proposed that extracts per-video rPPG wave- forms via RhythmFormer and trains a suite of lightweight classifiers to distinguish real from synthesized physiologi- cal signals and shows that detec- tion difficulty is strongly method-dependent.

Othmane Harraq, Tamer Aldwairi · arXiv.org · 0 citations