[Submitted on 13 Sep 2026]
Title:Complementary rPPG-Derived and Lip-Region Frequency Cues for Talking-Face Deepfake Detection
View a PDF of the paper titled Complementary rPPG-Derived and Lip-Region Frequency Cues for Talking-Face Deepfake Detection, by Othmane Harraq and Tamer Aldwairi
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Abstract:Talking-face (TF) deepfakes are detected unevenly by rPPG-based methods across generators. We study two lightweight visual-only cues, rPPG-derived waveforms extracted by RhythmFormer and lip-region discrete cosine transform (DCT) coefficients, on the seven TF methods of Celeb-DF++ under a subject-independent protocol. In-domain, lip-region DCT matches or exceeds the rPPG-derived 1D ResNet on every method except SadTalker, and Concat fusion reaches AUC 0.891 against 0.824 and 0.827 for the unimodal baselines. Under leave-one-generator-out evaluation the cues split: each transfers clearly better to three held-out methods, and IP-LAP is near chance for both. Concat averages 0.798 but falls below rPPG alone where DCT transfers poorly, so static fusion only partly exploits this complementarity. Lip-region DCT outperforms full-face DCT on six of seven methods. We treat the rPPG-derived signal as an empirical cue and do not claim it is cardiac in origin.
Subjects:
Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Image and Video Processing (eess.IV)
Cite as: arXiv:2609.22284 [cs.CV]
(or arXiv:2609.22284v1 [cs.CV] for this version)
https://doi.org/10.48550/arXiv.2609.22284
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Tamer Aldwairi [view email] [v1] Sun, 13 Sep 2026 03:52:54 UTC (378 KB)
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