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DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
April 23, 2024, 4:47 a.m. | Shuwei Hou, Yan Ju, Chengzhe Sun, Shan Jia, Lipeng Ke, Riky Zhou, Anita Nikolich, Siwei Lyu
cs.CV updates on arXiv.org arxiv.org
Abstract: Deepfakes, as AI-generated media, have increasingly threatened media integrity and personal privacy with realistic yet fake digital content. In this work, we introduce an open-source and user-friendly online platform, DeepFake-O-Meter v2.0, that integrates state-of-the-art methods for detecting Deepfake images, videos, and audio. Built upon DeepFake-O-Meter v1.0, we have made significant upgrades and improvements in platform architecture design, including user interaction, detector integration, job balancing, and security management. The platform aims to offer everyday users a …
abstract art arxiv audio cs.cr cs.cv deepfake deepfake images deepfakes detection digital digital content fake generated images integrity media platform privacy state type videos work
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