A simple black-box robustness measure is introduced that bounds MSE under input perturbations with high probability, supported by experiments on real datasets and new robustness curves.
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Robustness of neural networks to random noise perturbations of their inputs
A simple black-box robustness measure is introduced that bounds MSE under input perturbations with high probability, supported by experiments on real datasets and new robustness curves.