DeepFake-o-meter: An Open Platform for DeepFake Detection
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 17 of its 24 references that are in the map. First posted on arXiv 2 Mar 2021.
Builds on
17 of 24 references.
References · 17
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5 more
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Citing papers per year: 2022: 1; 2023: 0; 2024: 1.
2 papers.