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Watermarking Neuromorphic Brains: Intellectual Property Protection in Spiking Neural Networks
As spiking neural networks (SNNs) gain traction in deploying neuromorphic computing solutions, protecting their intellectual property (IP) has become crucial.
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks
Particularly, model inversion (MI) attacks enable the reconstruction of data samples that have been used to train the model.
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