深度伪造技术的态势感知

C. Olebara
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引用次数: 0

摘要

这项工作是对 deepfake 技术的态势感知报告。个人的图像或音频被篡改,目的是向内容观看者提供虚假信息或错误信息。该技术首次出现在 2017 年 11 月,当时一名社交媒体用户发布了一种利用人工智能创建虚假视频的算法。本文将讨论 deepfake 的应用领域、如何创建 deepfake 的一些研究,以及如何检测 deepfake 的一些研究。这项研究主要是为了报道这项新技术,从而让社会了解它的存在,并警惕它的使用。关键词深层伪造、意识、安全、社交媒体、在线、图像、视频、用户、技术 目的 研究期刊 参考文献格式:Olebara, C.C. (2020):深度伪造技术的态势感知》。多学科研究进展期刊》。第 6 卷,第 153-157 页。文章 DOI:dx.doi.org/10.22624/AIMS/V6N1P14。可在线查阅 www.isteams.net/aimsjournal。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Situational Awareness of Deepfake Technology
This work is a situational awareness reporting of the deepfake technology, which is a technology where multimedia components such as video. Image or audio of an individual is distorted with the aim of disinforming or misinforming the content viewers. The technology first appeared in November, 2017, when a social media user posted an algorithm that used AI to create fake videos. This paper will discuss areas where deepfake has been applied, some researches of how to create deepfake, and also some researches on how to detect deepfake. The study is mainly to report this new technology thereby making the society aware of its existence and watching out for its use. Keywords: Deepfakes, Awareness, Security, Social Media, Online, Images, Videos, Users, Technology Aims Research Journal Reference Format: Olebara, C.C. (2020): Situational Awareness of Deepfake Technology”. Advances in Multidisciplinary Research Journal. Vol. 6, Pp 153-157. Article DOI: dx.doi.org/10.22624/AIMS/V6N1P14. Available online at www.isteams.net/aimsjournal.
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