Combining Differential Privacy and Mutual Information for Analyzing Leakages in Workflows

DOI10.1007/978-3-662-54455-6_14zbMath1444.90073OpenAlexW2598721350MaRDI QIDQ3304822

Martin Pettai, Peeter Laud

Publication date: 3 August 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-662-54455-6_14

zbMATH Keywords

mutual informationtriangle inequalitysecret sharingmaximum flowoutput port

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Authentication, digital signatures and secret sharing (94A62) Theory of organizations, manpower planning in operations research (90B70) Privacy of data (68P27)

Related Items (1)

Secure Guarded Commands

Uses Software

• PrivateLR

Cites Work

• Linear dependent types for differential privacy
• Probabilistic relational reasoning for differential privacy
• Network information flow with correlated sources
• Statistical Measurement of Information Leakage
• On the Foundations of Quantitative Information Flow
• Distance makes the types grow stronger
• Elements of Information Theory
• Differential Privacy

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