Preliminary Forensics Analysis of DeepFake Images
Computer Vision and Pattern Recognition
2021-03-09 v5 Image and Video Processing
Abstract
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.
Cite
@article{arxiv.2004.12626,
title = {Preliminary Forensics Analysis of DeepFake Images},
author = {Luca Guarnera and Oliver Giudice and Cristina Nastasi and Sebastiano Battiato},
journal= {arXiv preprint arXiv:2004.12626},
year = {2021}
}
Comments
Accepted at IEEE AEIT International Annual Conference 2020