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 adversaria
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