arXiv:2004.12626 공식 코드 · Papers with Code

Preliminary Forensics Analysis of DeepFake Images

Luca Guarnera, Oliver Giudice, Cristina Nastasi, Sebastiano Battiato

제출 2020-04-27

원문 초록

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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