With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …

In recent months a machine learning based free software tool has made it easy to create
believable face swaps in videos that leaves few traces of manipulation, in what are known …

High quality face editing in videos is a growing concern and spreads distrust in video
content. However, upon closer examination, many face editing algorithms exhibit artifacts …

With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …

The rapid progress in synthetic image generation and manipulation has now come to a point
where it raises significant concerns for the implications towards society. At best, this leads to …

Digital forensics is a relatively new research area which aims at authenticating digital media
by detecting possible digital forgeries. Indeed, the ever increasing availability of multimedia …

Face anti-spoofing (aka presentation attack detection) has recently emerged as an active
topic with great significance for both academia and industry due to the rapidly increasing …

Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …

Fake portrait video generation techniques have been posing a new threat to the society with
photorealistic deep fakes for political propaganda, celebrity imitation, forged evidences, and …