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The robustness of an artificial neural network is important for its application. In this paper, we focus on the robustness of the classification ability of spiking neural networks with respect to perturbation of inputs according to the probability distribution. Two typical types of perturbations, sinusoidal and Gaussian perturbations, are considered, which have rarely been investigated for SNNs in...
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