May 8, 2024, 4:11 a.m. | Hamed Poursiami, Ihsen Alouani, Maryam Parsa

cs.CR updates on arXiv.org arxiv.org

arXiv:2405.04049v1 Announce Type: new
Abstract: As spiking neural networks (SNNs) gain traction in deploying neuromorphic computing solutions, protecting their intellectual property (IP) has become crucial. Without adequate safeguards, proprietary SNN architectures are at risk of theft, replication, or misuse, which could lead to significant financial losses for the owners. While IP protection techniques have been extensively explored for artificial neural networks (ANNs), their applicability and effectiveness for the unique characteristics of SNNs remain largely unexplored. In this work, we pioneer …

architectures arxiv computing cs.cr cs.lg cs.ne financial intellectual property losses networks neural networks neuromorphic computing property protecting protection replication risk safeguards solutions theft watermarking

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