与 "深度伪造 "作斗争:检测及其他

Siwei Lyu
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引用次数: 0

摘要

来自纽约州立大学布法罗分校的纽约州立大学帝国创新教授柳思维(Siwei Lyu)深入探讨了 DeepFake 领域的检测及其他问题,首先来看看什么是 DeepFake。2017 年以来,"DeepFake "一词广为人知,经常出现在新闻和媒体中。它将 "深度学习"(一种人工智能模型)和 "假 "结合在一起,用来描述利用先进的人工智能技术合成的媒体,如文本、音频、图像和视频。当一位 Reddit 用户开始分享人工智能生成的色情视频,将名人的脸叠加到其他人物上时,这一概念便声名鹊起。
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Wrestling with the deepfakes: Detection and beyond
Siwei Lyu, SUNY Empire Innovation Professor from the University at Buffalo, State University of New York, delves into detection and beyond in the realm of DeepFakes, starting with a look at what they are. Since 2017, the term “DeepFake” has become widely known, often appearing in news and media. It combines “deep learning” (a type of artificial intelligence [AI] model) and “fake” to describe synthetic media – like text, audio, images, and videos – created with advanced AI technologies. The concept gained notoriety when a Reddit user began sharing AI-generated pornographic videos that superimposed celebrity faces onto other figures.
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