Dec. 22, 2022, 2:10 a.m. | Qianqian Pan, Mianxiong Dong, Kaoru Ota, Jun Wu

cs.CR updates on arXiv.org arxiv.org

Machine learning as a service (MLaaS) framework provides intelligent services
or well-trained artificial intelligence (AI) models for local devices. However,
in the process of model transmission and deployment, there are security issues,
i.e. AI model leakage due to the unreliable transmission environments and
illegal abuse at local devices without permission. Although existing works
study the intellectual property (IP) protection of AI models, they mainly focus
on the watermark-based and encryption-based methods and have the following
problems: (i) The watermark-based methods …

bind device encryption hardware key protection puf

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