Physiological Signals Expose Talking‑Face Deepfakes That Fool Image Detectors
Researchers demonstrate that remote photoplethysmography (rPPG) can spot talking‑face deepfakes, a class that bypasses image‑based detectors. By extracting rPPG with RhythmFormer and classifying via a 1D ResNet, they achieve 0.806 AUC on Celeb‑DF++ under strict subject‑independent splits, rivaling top general detectors using only physiological cues.