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pro vyhledávání: '"Poursiami, Hamed"'
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, replicatio
Externí odkaz:
http://arxiv.org/abs/2405.04049
With the mainstream integration of machine learning into security-sensitive domains such as healthcare and finance, concerns about data privacy have intensified. Conventional artificial neural networks (ANNs) have been found vulnerable to several att
Externí odkaz:
http://arxiv.org/abs/2402.00906