Researchers have developed a deepfake detection method that reads the naturalness of facial expressions rather than searching for visual glitches. Tested on standard benchmark datasets, it achieved over 95% accuracy and caught manipulations that defeated most existing detectors.
(c) Rafael Santos

Neuer Deepfake-Detektor erreicht 95-Prozent-Genauigkeit durch Analyse von Gesichtsausdrücken

TECH XPLORE

Forschende haben eine Methode zur Deepfake-Erkennung entwickelt, die die Natürlichkeit von Gesichtsausdrücken analysiert statt nach visuellen Artefakten zu suchen. In Tests auf standardisierten Benchmark-Datensätzen erreichte der Ansatz eine Erkennungsgenauigkeit von über 95 Prozent und entlarvte Manipulationen, an denen bestehende Detektoren gescheitert waren.

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