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arXiv · 2103.02018

DeepFake-o-meter: An Open Platform for DeepFake Detection

Yuezun Li·Cong Zhang·Pu Sun·Honggang Qi·Siwei Lyu
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Abstract

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.

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Yuezun Li, Cong Zhang, Pu Sun, Honggang Qi, Siwei Lyu. 2021-03-02. DeepFake-o-meter: An Open Platform for DeepFake Detection. https://arxiv.org/abs/2103.02018

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