Web: http://arxiv.org/abs/2303.09272

March 17, 2023, 1:10 a.m. | Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Pathum Chamikara Mahawaga Arachchige, Chehara Pathmabandu, Minhui Xue

cs.CR updates on arXiv.org arxiv.org

Generative AI (e.g., Generative Adversarial Networks - GANs) has become
increasingly popular in recent years. However, Generative AI introduces
significant concerns regarding the protection of Intellectual Property Rights
(IPR) (resp. model accountability) pertaining to images (resp. toxic images)
and models (resp. poisoned models) generated. In this paper, we propose an
evaluation framework to provide a comprehensive overview of the current state
of the copyright protection measures for GANs, evaluate their performance
across a diverse range of GAN architectures, and identify …

accountability attack attribution copyright generative ai protection watermarking

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