Detecting Deepfakes: An Analysis of Modern Approaches

Deepfakes refer to real-life but entirely fabricated images, videos, or audio generated using advanced AI techniques. The misuse of such technology to spread false information, tarnish reputations, or manipulate audiences presents risks to security, privacy, and public confidence. A real-life case study of a 2018 deepfake video involving a well-known figure in the tech world demonstrated the dangers of misinformation. The manipulated video, falsely portraying him discussing personal control over data, spread widely on social media, raising significant concerns over privacy and trust. This paper reviews the various deepfake detection systems, highlighting the techniques, datasets, and methodologies employed to identify and prevent deepfakes. It also explores the effectiveness, limitations, and future of these detection systems.