Adversarial robustness guarantees for classification with gaussian processes
We investigate adversarial robustness of Gaussian Process classification (GPC) models.
Specifically, given a compact subset of the input space $ T\subseteq\mathbb {R}^ d …
Specifically, given a compact subset of the input space $ T\subseteq\mathbb {R}^ d …
Adversarial robustness guarantees for gaussian processes
Gaussian processes (GPs) enable principled computation of model uncertainty, making
them attractive for safety-critical applications. Such scenarios demand that GP decisions are …
them attractive for safety-critical applications. Such scenarios demand that GP decisions are …