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 not only accurate, but also robust to perturbations. In this paper we present a framework to analyse adversarial robustnes...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Patane, A, Blaas, A, Laurenti, L, Cardelli, L, Roberts, S, Kwiatkowska, M
Materyal Türü: Journal article
Dil:English
Baskı/Yayın Bilgisi: Journal of Machine Learning Research 2022