Disguised Copyright Infringement of Latent Diffusion Model

arXiv:2404.06737v1 Announce Type: cross
Abstract: Copyright infringement may occur when a generative model produces samples substantially similar to some copyrighted data that it had access to during the training phase. The notion of access usually refers to including copyrighted samples directly in the training dataset, which one may inspect to identify an infringement. We argue that such visual auditing largely overlooks a concealed copyright infringement, where one constructs a disguise that looks drastically different from the copyrighted sample yet still …

access arxiv copyright cs.cr cs.lg data dataset disguised generative identify may notion training