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 …

Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

Face forgery detection is raising ever-increasing interest in computer vision since facial
manipulation technologies cause serious worries. Though recent works have reached …

The recent emergence of machine-manipulated media raises an important societal question:
How can we know whether a video that we watch is real or fake? In two online studies with …

A major challenge in DeepFake forgery detection is that state-of-the-art algorithms are
mostly trained to detect a specific fake method. As a result, these approaches show poor …

Camera-based physiological measurement is a growing field with neural models providing
state-of-the-art performance. Prior research has explored various end-to-end architectures; …

We propose a method for detecting face swapping and other identity manipulations in single
images. Face swapping methods, such as DeepFake, manipulate the face region, aiming to …

In recent years, as various realistic face forgery techniques known as DeepFake improves
by leaps and bounds, more and more DeepFake detection techniques have been proposed …

The rapid development of facial manipulation techniques has aroused public concerns in
recent years. Following the success of deep learning, existing methods always formulate …

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 …