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 ...

By focusing on six characteristics, the study claims you could reach "near-perfect accuracy" at detecting AI deepfakes.

Abstract: Social Internet of Things (IoT) creates an integrated ecosystem for mental health analysis through video emotion analysis. These systems can be transformed into real-time monitoring tools ...