Oct 17, 2019 · To understand the tradeoff between aggregator utility and user privacy, we introduce new information-theoretic metrics for utility and privacy.
Oct 17, 2019 · Abstract. Local Differential Privacy (LDP) protocols allow an aggregator to obtain population statistics about sensitive data of a userbase, ...
Local Differential Privacy (LDP) protocols allow an aggregator to obtain population statistics about sensitive data of a userbase, while protecting the ...
Oct 6, 2023 · This tutorial studies relations between differential privacy and various information-theoretic measures by using several selective articles.
Information-theoretic metrics for Local Differential Privacy protocols ; Journal, CoRR ; Volume, abs/1910.07826 ; Publication status, Published - 2019 ; In · arXiv.
Local Differential Privacy (LDP) protocols allow an aggregator to obtain population statistics about sensitive data of a userbase, while protecting the ...
It is shown how differentially private distributions arise out of the application of the Maximum Entropy Principle, which helps locate differential privacy ...
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Mar 19, 2022 · Our main contribution provides a systematic survey of channel models, definitions, privacy-utility metrics, properties, and mechanisms for GDP and LDP
Sep 14, 2021 · Metric differential privacy abstracts away from the particulars of statistical databases and permits reasoning about privacy on more general ...
This helps us locate differential privacy within the wider framework of information-theory and helps formalize some intuitive aspects of our un- derstanding of ...
Missing: Local protocols.