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Traceable and Authenticable Image Tagging for Fake News Detection. (arXiv:2211.10923v1 [cs.CV])
Nov. 22, 2022, 2:13 a.m. | Ruohan Meng, Zhili Zhou, Qi Cui, Kwok-Yan Lam, Alex Kot
cs.CV updates on arXiv.org arxiv.org
To prevent fake news images from misleading the public, it is desirable not
only to verify the authenticity of news images but also to trace the source of
fake news, so as to provide a complete forensic chain for reliable fake news
detection. To simultaneously achieve the goals of authenticity verification and
source tracing, we propose a traceable and authenticable image tagging approach
that is based on a design of Decoupled Invertible Neural Network (DINN). The
designed DINN can simultaneously …
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