Deepfake Methods and Statistics: A Comprehensive Review

AI-generated images, videos, and audio, or deepfakes, have become increasingly problematic since they can easily be used to spread false information, harass people, and commit fraud. Although deepfakes have valid applications, their ability to deceive people into believing misleading information raises significant concerns. This paper discusses difficulty of identifying deepfakes, along with techniques researchers have developed. It also discusses evolution of deepfake technology and what it means for future. In order to keep up with more realistic deepfakes, this research aims to provide an overview of current deepfake detection approaches and emphasize the need for new, more reliable ones. A comprehensive analysis of deepfake approaches is provided in this paper, which promotes the adoption of new and more reliable techniques for coping with the incredibly complicated deepfakes by examining the history of deepfake and most recent detection techniques.