REVIEW ON DETECTION OF DEEPFAKE IN IMAGES AND VIDEOS
Yaramasa Gautham, Raveendran Sindhu, J. Jenitta · International Journal of Computer Applications · 2024
Deepfake technology can manipulate and superimpose existing images or videos onto other images or videos, creating realisticlooking but fabricated content.This technology has raised concerns as it can be used to create deceptive or misleading media, potentially causing harm by spreading false information or manipulating public perception.A detailed review is done on the detection of Deepfake in images and videos and it is presented in this paper.Various methods with which the detection of deepfake can be performed are image-based, video-based, frequency-based, Machine learning algorithm-based and Generative Adversarial-based methods.Various databases used, advantages and drawbacks of each literature are discussed in detail.After thorough research, it was found that the Attentivepooling methods are giving better results than all the other methods that were proposed in the literature.