Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations

23 Mar 2020Saima SharminNitin RathiPriyadarshini PandaKaushik Roy

In the recent quest for trustworthy neural networks, we present Spiking Neural Network (SNN) as a potential candidate for inherent robustness against adversarial attacks. In this work, we demonstrate that accuracy degradation is less severe in SNNs than in their non-spiking counterparts for CIFAR10 and CIFAR100 datasets on deep VGG architectures... (read more)

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