Preliminary Forensics Analysis of DeepFake Images

• URL: http://arxiv.org/abs/2004.12626v5
• Date: Tue, 4 Aug 2020 09:27:14 GMT
• Title: Preliminary Forensics Analysis of DeepFake Images
• Authors: Luca Guarnera (1 and 2), Oliver Giudice (1), Cristina Nastasi (1), Sebastiano Battiato (1 and 2) ((1) University of Catania, (2) iCTLab s.r.l. - Spin-off of University of Catania)
• Abstract summary: DeepFake is 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. A preliminary idea on how to fight DeepFake images of faces will be presented.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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