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False Claims against Model Ownership Resolution. (arXiv:2304.06607v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Deep neural network (DNN) models are valuable intellectual property of model
owners, constituting a competitive advantage. Therefore, it is crucial to
develop techniques to protect against model theft. Model ownership resolution
(MOR) is a class of techniques that can deter model theft. A MOR scheme enables
an accuser to assert an ownership claim for a suspect model by presenting
evidence, such as a watermark or fingerprint, to show that the suspect model
was stolen or derived from a source model …
claim claims class competitive fingerprint intellectual property network neural network ownership protect resolution robustness stolen techniques theft