DPSNN: A Differentially Private Spiking Neural Network. (arXiv:2205.12718v1 [cs.NE])

Privacy-preserving is a key problem for the machine learning algorithm.
Spiking neural network (SNN) plays an important role in many domains, such as
image classification, object detection, and speech recognition, but the study
on the privacy protection of SNN is urgently needed. This study combines the
differential privacy (DP) algorithm and SNN and proposes differentially private
spiking neural network (DPSNN). DP injects noise into the gradient, and SNN
transmits information in discrete spike trains so that our differentially
private SNN …

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