Deepfakes 的产生和检测：调查报告（CS CV）---刘持诚

生成式深度学习算法已经发展到了难以分辨真假的地步。2018年，人们发现这种技术很容易被用于不道德和恶意的应用，如传播错误信息、冒充政治领导人和诽谤无辜的个体等。从那时起，这些 "deepfakes "就有了很大的进步。在本文中，我们探讨了 Deepfakes 的产生和检测，并深入探讨了这些架构是如何工作的。本论文的目的是为了让读者更深入地了解：(1) 深层伪证是如何产生和检测到的；(2) 目前这一领域的趋势和进展；(3) 目前防御解决方案的缺点；以及(4) 需要进一步研究和关注的领域。

原文题目：The Creation and Detection of Deepfakes: A Survey

原文：Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. In 2018, it was discovered how easy it is to use this technology for unethical and malicious applications, such as the spread of misinformation, impersonation of political leaders, and the defamation of innocent individuals. Since then, these `deepfakes' have advanced significantly. In this paper, we explore the creation and detection of deepfakes an provide an in-depth view how these architectures work. The purpose of this SoK is to provide the reader with a deeper understanding of (1) how deepfakes are created and detected, (2) the current trends and advancements in this domain, (3) the shortcomings of the current defense solutions, and (4) the areas which require further research and attention.

原文作者：Yisroel Mirsky, Wenke Lee

原文地址：https://arxiv.org/abs/2004.11138