Design & Implementation of New Model and Techniques for Detection of Deep Fakes Videos

Abstract

DeepFake Detection is tasked with detecting fake videos or images created using deep learning techniques. Deep spoofing is formed via machine learning algorithms to manipulate or replace parts of the original video or image, such as a person's face. The goal of deep fake detection is to detect such manipulations and distinguish them from genuine videos or images. . Recently, the highly-reproduced, lifelike, and altered videos have come to be known as Deepfake. Since then, a number of strategies have been detailed in the literature to address the issues brought up by Deepfake. For instance, AI-powered software tools such as FaceApp and FakeApp are used for creating realistic-looking faces in images and video. This face swapping mechanism enables anyone to change the front appearance, the hairstyle, the gender, the age, and many other personal details. The spread of such fake videos creates a lot of anxiety and has become known as Deepfake