Quantitative Information Flow and Applications to Differential Privacy

DOI10.1007/978-3-642-23082-0_8zbMath1344.68067OpenAlexW83545226WikidataQ62043004 ScholiaQ62043004MaRDI QIDQ3092184

Miguel E. Andrés, Catuscia Palamidessi, Konstantinos Chatzikokolakis, Mário S. Alvim

Publication date: 16 September 2011

Published in: Foundations of Security Analysis and Design VI (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-23082-0_8

Mathematics Subject Classification ID

Database theory (68P15) Cryptography (94A60) Data encryption (aspects in computer science) (68P25) Measures of information, entropy (94A17)

Related Items (2)

An automated quantitative information flow analysis for concurrent programs ⋮ Worst- and average-case privacy breaches in randomization mechanisms

Uses Software

• PrivateLR

Cites Work

• A Mathematical Theory of Communication
• The dining cryptographers problem: Unconditional sender and recipient untraceability
• Anonymity protocols as noisy channels
• Quantitative Information Flow, Relations and Polymorphic Types
• Assessing security threats of looping constructs
• Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data
• On the Foundations of Quantitative Information Flow
• Universally utility-maximizing privacy mechanisms
• Differential privacy and robust statistics
• Advances in Cryptology - EUROCRYPT 2004
• Quantification of integrity
• Differential Privacy
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• Unnamed Item

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