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Generative Model Watermarking Based on Human Visual System. (arXiv:2209.15268v1 [cs.CV])
Oct. 3, 2022, 1:20 a.m. | Li Zhang, Yong Liu, Shaoteng Liu, Tianshu Yang, Yexin Wang, Xinpeng Zhang, Hanzhou Wu
cs.CR updates on arXiv.org arxiv.org
Intellectual property protection of deep neural networks is receiving
attention from more and more researchers, and the latest research applies model
watermarking to generative models for image processing. However, the existing
watermarking methods designed for generative models do not take into account
the effects of different channels of sample images on watermarking. As a
result, the watermarking performance is still limited. To tackle this problem,
in this paper, we first analyze the effects of embedding watermark information
on different channels. …
More from arxiv.org / cs.CR updates on arXiv.org
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