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In recent years, the advent of deep learning-based techniques and thesignificant reduction in the cost of computation resulted in the feasibility ofcreating realistic videos of human faces, commonly known as DeepFakes. Theavailability of open-source tools to create DeepFakes poses as a threat to thetrustworthiness of the online media. In this work, we develop an open-sourceonline platform, known as DeepFake-o-meter, that integrates state-of-the-artDeepFake detection methods and provide a convenient interface for the users. Wedescribe the design and function of DeepFake-o-meter in this work.

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