Due to the fast spread of data through digital media, individuals and societies must assess
the reliability of information. Deepfakes are not a novel idea but they are now a widespread …

Computer-generated (CG) beings are rapidly infiltrating the human social world. Yet
evidence about how humans respond to CG faces is mixed. The present systematic review …

Recent evidence shows that AI-generated faces are now indistinguishable from human
faces. However, algorithms are trained disproportionately on White faces, and thus White AI …

Abstract 'Deepfakes' are computationally created entities that falsely represent reality. They
can take image, video, and audio modalities, and pose a threat to many areas of systems …

Recent deep face recognition models proposed in the literature utilized large-scale public
datasets such as MS-Celeb-1M and VGGFace2 for training very deep neural networks …

Can deep learning models achieve greater generalization if their training is guided by
reference to human perceptual abilities? And how can we implement this in a practical …

The evolving landscape of manipulated media, including the threat of deepfakes, has made
information verification a daunting challenge for journalists. Technologists have developed …

The rise of deepfakes and AI‐generated images has raised concerns regarding their
potential misuse. However, this commentary highlights the valuable opportunities these …

Recent advances in the field of generative artificial intelligence (AI) have blurred the lines
between authentic and machine-generated content, making it almost impossible for humans …

The performance of state-of-the-art face recognition systems depends crucially on the
availability of large-scale training datasets. However, increasing privacy concerns nowadays …