Methods and apparatus to augment classification coverage for low prevalence samples through neighborhood labels proximity vectors

Abstract

Disclosed examples include obtaining malicious neighbor samples based on a non-classified sample; obtaining clean neighbor samples based on the non-classified sample; generating a malicious proximity vector representing first distances between the non-classified sample and a first malicious neighbor sample from the malicious neighbor samples; generating a clean proximity vector representing second distances between the non-classified sample and a first clean neighbor sample from the clean neighbor samples; and classifying the non-classified sample as a clean sample or a malicious sample based on at least one of the malicious proximity vector or the clean proximity vector.