Théo Giraudon

Towards an Intrinsic Definition of Robustness for a Classifier

Finding good measures of robustness – i.e. the ability to correctly classify corrupted input signals – of a trained classifier is an important question for sensitive practical applications. In this paper, we point out that averaging the radius of robustness of samples in a validation set is a statis…