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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.