Deep Learning (DL) is the most efficient technique to handle a wide range of challenging
problems such as data analytics, diagnosing diseases, detecting anomalies, etc. The …

We are currently on a verge of a revolution in digital photography. Developments in
computational imaging and adoption of artificial intelligence have spawned new editing …

Deep neural networks can generate images that are astonishingly realistic, so much so that
it is often hard for humans to distinguish them from actual photos. These achievements have …

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 …

Abstract Recent advances in Generative Adversarial Networks (GANs) have shown
increasing success in generating photorealistic images. But they also raise challenges to …

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 …

Diffusion models (DMs) have recently emerged as a promising method in image synthesis.
However, to date, only little attention has been paid to the detection of DM-generated …

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 …

We provide a benchmark for digital Media Forensics Challenge (MFC) evaluations. Our
comprehensive data comprises over 176,000 high provenance (HP) images and 11,000 HP …

Detecting digital face manipulation has attracted extensive attention due to the potential
harms of fake media to the public. However, recent advances have been able to reduce the …