Deepfake Detection Using Deep Learning
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
In a narrow definition, deepfakes (stemming from "deep learning" and "fake") are created by techniques that can superimpose face images of a target person onto a video of a source person to make a video of the target person doing or saying things the source person does. This constitutes a category of deepfakes, namely face swap. In a broader definition, deepfakes are artificial intelligence-synthesized content that can also fall into two other categories, i.e., lip-sync and puppet-master. Lip-sync deepfakes refer to videos that are modified to make the mouth movements consistent with an audio recording. Puppet master deepfakes include videos of a target person (puppet) who is animated following the facial expressions, eye, and head movements of another person (master) sitting in front of a camera. We have created a project that tries to push the boundaries. and make the life of the user easier by telling the user if the image or the video uploaded is fake or real.