论文标题
深击的创造和检测：调查
The Creation and Detection of Deepfakes: A Survey
论文作者
论文摘要
生成的深度学习算法已经发展到很难分辨出真实与假货之间的区别的程度。在2018年，人们发现，将这项技术用于不道德和恶意的应用是多么容易，例如，错误信息的传播，对政治领导人的模仿以及无辜个人的诽谤。从那时起，这些“深果”已经大大发展。 在本文中，我们探讨了深击的创建和检测，并对这些体系结构的工作方式提供了深入的看法。这项调查的目的是为读者提供更深入的了解（1）（1）（1）（2）该领域的当前趋势和进步，（3）当前的国防解决方案的缺点以及（4）需要进一步研究和关注的领域。
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 and provide an in-depth view of how these architectures work. The purpose of this survey 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.
