Visible to the public Entropy-minimizing Mechanism for Differential Privacy of Discrete-time Linear Feedback SystemsConflict Detection Enabled

TitleEntropy-minimizing Mechanism for Differential Privacy of Discrete-time Linear Feedback Systems
Publication TypeConference Paper
Year of Publication2014
AuthorsYu Wang, University of Illinois at Urbana-Champaign, Zhenqi Huang, University of Illinois at Urbana-Champaign, Sayan Mitra, University of Illinois at Urbana-Champaign, Geir Dullerud, University of Illinois at Urbana-Champaign
Conference Name53rd IEEE Conference on Decision and Control (CDC 2014)
PublisherIEEE
Conference LocationLos Angeles, CA
KeywordsNSA SoS Lablets Materials, science of security, UIUC
Abstract

The concept of differential privacy stems from the study of private query of datasets. In this work, we apply this concept to metric spaces to study a mechanism that randomizes a deterministic query by adding mean-zero noise to keep differential privacy.

URLhttps://publish.illinois.edu/science-of-security-lablet/files/2014/06/Entropy-minimizing-Mechanism-f...
Citation Keynode-23386
Refereed DesignationUnknown

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Entropy minimizing Mechanism for Differential Privacy of Discrete time Linear Feedback Systems