May 8, 2024, 4:42 a.m. | Hamed Poursiami, Ihsen Alouani, Maryam Parsa

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.04049v1 Announce Type: cross
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 …

abstract architectures arxiv become brains computing cs.cr cs.lg cs.ne financial intellectual property losses misuse networks neural networks neuromorphic neuromorphic computing property proprietary protection replication risk safeguards snn solutions spiking neural networks theft type watermarking while

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