Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition

arXiv:2211.07245v2 Announce Type: replace-cross
Abstract: The ROC curve is the major tool for assessing not only the performance but also the fairness properties of a similarity scoring function. In order to draw reliable conclusions based on empirical ROC analysis, accurately evaluating the uncertainty level related to statistical versions of the ROC curves of interest is absolutely necessary, especially for applications with considerable societal impact such as Face Recognition. In this article, we prove asymptotic guarantees for empirical ROC curves of …

abstract analysis arxiv cs.ai cs.cv cs.lg face face recognition fairness function major performance recognition roc scoring statistical stat.ml tool type uncertainty versions