Exploring the Deepfake Dilemma and the Evolution of Detection Techniques

Abstract

Deep learning generative models have seen a rise in their usage by technology experts and cybercriminals alike. It has become a big social issue, and its significance is expected to grow exponentially in upcoming times. As a result, the need for investment in Deepfake detection techniques is imperative. Specifically, image manipulation using deepfake techniques is easier and has a wider impact on the digital world. This paper aims to review currently available technology to deal with this pressing issue. We report the details of examined works and shortcomings. Furthermore, various research is reviewed, relevant to the topic dealt with in this paper.