Tag: samples

Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach arXiv:2501.10202v1 Announce Type: new Abstract: This paper introduces a novel method, Sample-efficient Probabilistic Detection using Extreme Value Theory (SPADE), which transforms a classifier into an abstaining classifier, offering provable protection against out-of-distribution and adversarial samples. The approach is based on a…