Preliminary Forensics Analysis of DeepFake Images
Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato
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.
Topics & Concepts
Computer scienceArtificial intelligenceFace (sociological concept)Computer forensicsState (computer science)Data scienceData miningPattern recognition (psychology)Computer visionDigital forensicsField (mathematics)Digital Media Forensic DetectionGenerative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques