Deepfake detection is gaining significant importance in the research community. While most
of the research efforts are focused around high-quality images and videos, deepfake …

With the development of computer vision and deep learning technologies, rapidly expanding
approaches have been introduced that allow anyone to create videos and pictures that are …

With the continuous development of generative models on face generation, how to
distinguish the real and fake face has become an important problem for security. Because of …

Abstract Generative Adversarial Networks (GANs) can generate hyperrealistic face images
of synthetic identities based on a latent understanding of real images from a large training …

The reliability of remote identity-proofing systems (ie, electronic Know Your Customer, or
eKYC, systems) is challenged by the development of deepfake generation tools, which can …

The emergence of text-to-image generative models has revolutionized the field of
deepfakes, enabling the creation of realistic and convincing visual content directly from …

Face biometric systems are shown to be vulnerable to various kinds of presentation attacks
including physical and digital attacks. Existing research generally focuses on individual …

A deepfake is a photo or video of a person whose image has been digitally altered or
partially replaced with an image of someone else. Deepfakes have the potential to cause a …

Deepfake media represents an important and growing threat not only to computing systems
but to society at large. Datasets of image, video, and voice deepfakes are being created to …

In today's era of social media, where information spreads rapidly through platforms like
YouTube, Facebook, and Twitter, the development of generative models have given rise to a …