DeepFake-o-meter: An Open Platform for DeepFake Detection
Li, Yuezun, Zhang, Cong, Sun, Pu, Qi, Honggang, Lyu, Siwei
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Mar-2-2021
- Country:
- Asia > China (0.05)
- North America > United States
- New York (0.04)
- Genre:
- Research Report (0.50)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Technology: