English

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

Computer Vision and Pattern Recognition 2021-03-04 v1 Artificial Intelligence

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.

Keywords

Cite

@article{arxiv.2103.02018,
  title  = {DeepFake-o-meter: An Open Platform for DeepFake Detection},
  author = {Yuezun Li and Cong Zhang and Pu Sun and Honggang Qi and Siwei Lyu},
  journal= {arXiv preprint arXiv:2103.02018},
  year   = {2021}
}

Comments

submitted to SAPDE 2021

R2 v1 2026-06-23T23:40:55.865Z