论文标题

深击图像的初步法医分析

Preliminary Forensics Analysis of DeepFake Images

论文作者

Guarnera, Luca, Giudice, Oliver, Nastasi, Cristina, Battiato, Sebastiano

论文摘要

如今,最可怕的现象之一是深层:通过基于深度学习来利用算法来自动替换一个人的面孔和视频的可能性。本文将简要概述能够生成面部深泡图像的技术。将介绍对具有标准方法的图像的取证分析:毫不奇怪的是,最先进的技术无法完全检测伪造。为了解决这个问题,将通过分析频域中的异常来提出有关如何对抗面部深泡图像的初步想法。

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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