Multimedia data manipulation and forgery has never been easier than today, thanks to the
power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes …

Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …

Media forensics has attracted a tremendous attention in the last years in part due to the
increasing concerns around DeepFakes. Since the release of the initial DeepFakes …

With the recent explosion of interest in visual Generative AI, the field of deepfake detection
has gained a lot of attention. In fact, deepfake detection might be the only measure to …

Generation Z is a data‐driven generation. Everyone has the entirety of humanity's
knowledge in their hands. The technological possibilities are endless. However, we use and …

Significant advances in deep learning have obtained hallmark accuracy rates for various
computer vision applications. However, advances in deep generative models have also led …

Deepfakes are realistic-looking fake media generated by deep-learning algorithms that
iterate through large datasets until they have learned how to solve the given problem (ie …

Media forensics has attracted a lot of attention in the last years in part due to the increasing
concerns around DeepFakes. Since the initial DeepFake databases from the 1^ st 1 st …

Deepfake videos, where a person's face is automatically swapped with a face of someone
else, are becoming easier to generate with more realistic results. In response to the threat …

Deep learning is used to address a wide range of challenging issues including large data
analysis, image processing, object detection, and autonomous control. In the same way …