SNN-RA T: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training

Spiking neural networks (SNNs) are promising to be widely deployed in real-time and safety-critical applications with the advance of neuromorphic computing. Recent work has demonstrated the insensitivity of SNNs to small random perturbations due to the discrete internal information representation.