Adversarial Training for Probabilistic Spiking Neural Networks

Alireza Bagheri, Osvaldo Simeone, Bipin Rajendran

Classifiers trained using conventional empirical risk minimization or maximum likelihood methods are known to suffer dramatic performance degradations when tested over examples adv…