Adversarial Risk Bounds for Neural Networks through Sparsity based Compression

Emilio Rafael Balda, Arash Behboodi, Niklas Koep +1

Neural networks have been shown to be vulnerable against minor adversarial perturbations of their inputs, especially for high dimensional data under ${\ell }_{\infty }$ attacks. To comba…