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Activity Number: 292 - Providing Access to Useful Data While Preserving Confidentiality
Type: Topic Contributed
Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #301731
Title: Statistical Disclosure Issues Involving Digital Images of ROC Curves
Author(s): Ofer Harel* and Gregory Matthews
Companies: Dept of Statistics, U of Connecticut and
Keywords: Confidentiality; Statistical Disclosure; images; ROC curves

Knowing the true values of the empirical receiver operating characteristic (ROC) curve (i.e. false-positive and true-positive rate pairs for all thresholds) along with a subset of the full data set consisting of n-1 observations can cause unwanted disclosures. Here, we explore a similar problem with two main extensions. First, rather than knowledge of the true values of the empirical ROC curve, we start only with an image of the empirical ROC curve. Second, rather than considering only subsets of n-1, we look at several differently sized subsets. Given this information (i.e. empirical ROC image and a subset of the full data set), we experimentally act as a data snooper and explore what can be learned about unobserved portions of the full data set.

Authors who are presenting talks have a * after their name.

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