Creating and Identifying Deepfakes: An Overview

The article explores the deeper background of deep learning, which has shown to be a successful approach to solving a variety of difficult problems, such as computer vision, human-level control, and big data analytics.However, developments in deep learning have also been used to produce software that compromises national security, democracy, and privacy.Deepfake is one of the lately popular deep learning-powered apps.Deepfake algorithms have the ability to produce phony photos and movies that are so similar to real ones that people may not be able to tell the difference.It is therefore essential to provide solutions that are capable of automatically identifying and evaluating digital visual assets.This paper presents an overview of deepfake production algorithms and, more significantly, deepfake detection methods that have been proposed thus far in the literature.We offer thorough evaluations of the challenges, advancements, and directions for further study in deepfake technology.