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 ...
Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...
Abstract: The rise of deep-fake technology has sparked concerns as it blurs the distinction between fake media by harnessing Generative Adversarial Networks (GANs). This has raised issues surrounding ...
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