Information-Theoretic Privacy Watchdogs

Given a dataset comprised of individual-level data, we consider the problem of identifying samples that may be disclosed without incurring a privacy risk. We address this challenge by designing a mapping that assigns a "privacy-risk score" to each sample. This mapping, called the privacy watchdog, is based on a sample-wise information leakage measure called the information density, deemed here lift privacy. We show that lift privacy is closely …