AI RESEARCH
A PUF-Based Approach for Copy Protection of Intellectual Property in Neural Network Models
arXiv CS.LG
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ArXi:2603.10753v1 Announce Type: cross and companies' Intellectual Property (IP) is being integrated into Neural Network (NN) models. This IP has considerable value for companies and, therefore, requires adequate protection. For example, an attacker might replicate a production machines' hardware and subsequently simply copy associated software and NN models onto the cloned hardware. To make copying NN models onto cloned hardware infeasible, we present an approach to bind NN models - and thus also the IP contained within them - to their underlying hardware.