1 code implementation • 1 Sep 2021 • Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
Spiking Neural Networks (SNNs) aim at providing energy-efficient learning capabilities when implemented on neuromorphic chips with event-based Dynamic Vision Sensors (DVS).
1 code implementation • 1 Jul 2021 • Alberto Marchisio, Giacomo Pira, Maurizio Martina, Guido Masera, Muhammad Shafique
Spiking Neural Networks (SNNs), despite being energy-efficient when implemented on neuromorphic hardware and coupled with event-based Dynamic Vision Sensors (DVS), are vulnerable to security threats, such as adversarial attacks, i. e., small perturbations added to the input for inducing a misclassification.