Preliminary Forensics Analysis of DeepFake Images
Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato · 2020
One of the most terrifying phenomenon nowadays is the Deepfake: the possibility to automatically replace a person's face in images and videos by exploiting algorithms based on deep learning. This paper will present a brief overview of technologies able to produce Deepfake images of faces. A forensics analysis of those images with standard methods will be presented: not surprisingly state of the art techniques are not completely able to detect the fakeness. To solve this, a preliminary idea on how to fight Deepfake images of faces will be presented by analysing anomalies in the frequency domain.