Abstract Generative Adversarial Networks (GAN) have led to the generation of very realistic
face images, which have been used in fake social media accounts and other disinformation …

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 …

Techniques for creating and manipulating multimedia information have progressed to the
point where they can now ensure a high degree of realism. DeepFake is a generative deep …

Audio-driven talking-head synthesis is a popular research topic for virtual human-related
applications. However, the inflexibility and inefficiency of existing methods, which …

Although effective deepfake detection models have been developed in recent years recent
studies have revealed that these models can result in unfair performance disparities among …

Recent advances in the field of machine learning and social media platforms facilitate the
creation and rapid dissemination of realistic fake content (ie, images, videos, audios) …

Lots of Deepfake videos are circulating on the Internet, which not only damages the
personal rights of the forged individual, but also pollutes the web environment. What's …

Despite the development of effective deepfake detectors in recent years, recent studies have
demonstrated that biases in the data used to train these detectors can lead to disparities in …

By employing generative deep learning techniques, Deepfakes are created with the intent to
create mistrust in society, manipulate public opinion and political decisions, and for other …

Due to the wide availability of easy-to-access content on social media, along with the
advanced tools and inexpensive computing infrastructure, has made it very easy for people …