论文标题
对初审法院的深入伪造发现的调查
A Survey of Deep Fake Detection for Trial Courts
论文作者
论文摘要
最近，由于复杂的图像编辑工具的发展，图像操纵已实现了快速增长。最近使用神经网络产生的假图像和视频的激增是深层的。 DeepFake算法可以创建人类无法与真实图像区分开的假图像和视频。 （gan）已广泛用于创建逼真的图像，而无需访问原始图像。因此，检测假视频以避免传播虚假信息是必不可少的。本文介绍了一项调查，用于检测可检测迄今为止文献中深层效果的深击和数据集的方法。我们提出了与Deepfake技术有关的广泛讨论和研究趋势。
Recently, image manipulation has achieved rapid growth due to the advancement of sophisticated image editing tools. A recent surge of generated fake imagery and videos using neural networks is DeepFake. DeepFake algorithms can create fake images and videos that humans cannot distinguish from authentic ones. (GANs) have been extensively used for creating realistic images without accessing the original images. Therefore, it is become essential to detect fake videos to avoid spreading false information. This paper presents a survey of methods used to detect DeepFakes and datasets available for detecting DeepFakes in the literature to date. We present extensive discussions and research trends related to DeepFake technologies.
