SOTAVerified

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

2021-03-02Unverified0· sign in to hype

Yuezun Li, Cong Zhang, Pu Sun, Honggang Qi, Siwei Lyu

Unverified — Be the first to reproduce this paper.

Reproduce

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.

Tasks

Reproductions