Robust learning of halfspaces under log-concave marginals

TL;DR

We say that a classifier is $\text{\emph{adversarially robust}}$ to perturbations of norm $r$ if, with high probability over a point $x$ drawn from the input distribution, there is no point within dis…

Opening excerpt from the authors’ abstract. source