Over the last few decades, rapid progress in AI, machine learning, and deep learning has
resulted in new techniques and various tools for manipulating multimedia. Though the …

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 this paper we propose a novel image representation called face X-ray for detecting
forgery in face images. The face X-ray of an input face image is a greyscale image that …

In this paper, we analyse the generalization ability of binary classifiers for the task of
deepfake detection. We find that the stumbling block to their generalization is caused by the …

In this article, we propose a model of face detection in risk situations to help rescue teams
speed up the search of people who might need help. The proposed lightweight …

Deepfake refers to realistic, but fake images, sounds, and videos generated by articial
intelligence methods. Recent advances in deepfake generation make deepfake more …

The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …

Seeing is not believing anymore. Different techniques have brought to our fingertips the
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …

DeepFakes detection approaches have to be agnostic across generation type, quality, and
appearance to provide a generalizable DeepFakes detector. Limited generalizability will …

The digital image proves critical evidence in the fields like forensic investigation, criminal
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …