DEEPFAKE IMAGE OR VIDEO DETECTION: A REVIEW

Abstract

The deepfake technology in question has been fuelled by artificial intelligence and deep learning, and it presents music awards as well. By employing such methods as GANs (generative adversarial networks), deepfakes can produce extremely convincing synthetic photos, videos, and sometimes even audio that is virtually indistinguishable from the genuine article. Examples like these showcase the power of AI, but also bring about several looming risks such as impersonation, financial fraud, misinformation and disarraying public faith. The creation and editing of manipulated media has become more accessible with the availability of free and sophisticated software tools, but to detect these manipulated images is still challenging. Recent studies, which address these challenges by exploiting deep learning-based detection methods.