Ana Neacsu

Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks

This work proposes a new learning strategy for training a feedforward neural network subject to spectral norm and nonnegativity constraints. Our primary goal is to control the Lipschitz constant of the network in order to make it robust against adversarial perturbations of its inputs. We propose a s…