With technological advances, the generation of deepfake material is now within reach of
those operating consumer-grade hardware. As a result, much research has been …

Facial manipulation by deep fake has caused major security risks and raised severe societal
concerns. As a countermeasure, a number of deep fake detection methods have been …

With the advances in generative adversarial networks (GAN), facial manipulations called
DeepFakes have caused major security risks and raised severe societal concerns. However …

Conspicuous progression in the field of machine learning (ML) and deep learning (DL) have
led the jump of highly realistic fake media, these media oftentimes referred as deepfakes …

Facial forgery by deepfakes has raised severe societal concerns. Several solutions have
been proposed by the vision community to effectively combat the misinformation on the …

This issue of DeepFake technique that may cause great threat to privacy, democracy, and
national security has attracted the attention of deep learning researchers. DeepFake …

With the significant advances in deep generative models for image and video synthesis,
Deepfakes and manipulated media have raised severe societal concerns. Conventional …

Automated face recognition is a widely adopted machine learning technology for contactless
identification of people in various processes such as automated border control, secure login …

Face forgery detection has attracted much attention due to the ever-increasing social
concerns caused by facial manipulation techniques. Recently, identity-based detection …

Image forgery localization, which centers on identifying tampered pixels within an image,
has seen significant advancements. Traditional approaches often model this challenge as a …