TL;DR本研究提出了一个名为 DeepFD 的深度伪造鉴别器，采用对比损失的方法来检测由不同 GAN 生成的计算机生成图像，实验结果表明，DeepFD 可以有效地检测到几种最新的 GAN 生成的 94.7% 假图像。
Abstract
Although generative adversarial network (GAN) can be used to generate the
realistic image, improper use of these technologies brings hidden concerns. For
example, GAN can be used to generate a tampered video for specific people and
inappropriate events, creating images that are detrime