Performance Analysis on Deep Fake Detection
Stéphane Monteiro, Cristina Wanzeller, Filipe Caldeira · Communications of the IBIMA · 2024
A deepfake is a type of synthetic media, image, video or audio of a person in which their physiognomy has been digitally altered, using artificial intelligence, particularly deep learning techniques, so that they appear to be someone else, typically used maliciously or to spread false information. In this study, our main goal is to thoroughly assess the effectiveness of deepfake detection algorithms by using various key performance metrics such as accuracy, precision, recall, and F1-score. The primary focus of our analysis revolves around their capability to distinguish between genuine and manipulated videos.