Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

Abstract: With the growing demand for real-time visual recognition on edge devices, preserving user privacy has become a critical challenge. Facial and action recognition systems must ensure data ...

Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...