In recent years, the advent of deep learning-based techniques and the significant reduction in the cost of computation resulted in the feasibility of creating realistic videos of human faces, commonly known as DeepFakes. The availability of open-source tools to create DeepFakes poses as a threat to the trustworthiness of the online media. In this work, we develop an open-source online platform, known as DeepFake-o-meter, that integrates state-of-the-art DeepFake detection methods and provide a convenient interface for the users. We describe the design and function of DeepFake-o-meter in this work.
翻译：近年来,深层次学习技术的出现和计算成本的大幅降低,导致创建现实的人类面孔视频的可行性,通常被称为深层假象。提供创建深层假象的开放源码工具对在线媒体的可信度构成了威胁。在这项工作中,我们开发了一个名为深层假象的开放源码在线平台,整合了最新的深层假象探测方法,并为用户提供了一个方便的界面。我们描述了深层假象仪在这项工作中的设计和功能。
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