Review of Deepfake Detection Techniques

Abstract

:- Deep fake videos are AI-generated videos that look real but are fake. Deep fake videos are generally created by face-swapping techniques. It started as fun but like any technology, it is being misused. In the beginning, these videos could be identified by human eyes. But due to the development of machine learning, it became easier to create deep fake videos. It has almost become indistinguishable from real videos. Deep fake videos are usually created by using GANs (Generative Adversarial Network) and other deep learning technologies. The danger of this is that technology can be used to make people believe something is real when it is not. Smartphone desktop applications like FaceApp and Fake App are built on this process. These videos can affect a person’s integrity. So identifying and categorizing these videos has become a necessity.This paper evaluate methods of deepfake detection and discuss how they can be combined or modified to get more accurate results. Hopefully, we will be able to make the internet a safer place.