Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

When used maliciously, deepfake can pose detrimental implications to political and social
forces including reducing public trust in institutions, damaging the reputation of prominent …

In this paper, we consider the face swap** detection from the perspective of face identity.
Face swap** aims to replace the target face with the source face and generate the fake …

Abstract We present Face Swap** GAN (FSGAN) for face swap** and reenactment.
Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces …

We propose an efficient framework, called Simple Swap (SimSwap), aiming for generalized
and high fidelity face swap**. In contrast to previous approaches that either lack the ability …

Face swap** has both positive applications such as entertainment, human-computer
interaction, etc., and negative applications such as DeepFake threats to politics, economics …

In this work, we study various existing benchmarks for deepfake detection researches. In
particular, we examine a novel two-stage face swap** algorithm, called FaceShifter, for …

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 …

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