Pufferfish

DOI10.1145/2514689zbMath1321.94067OpenAlexW2033092546MaRDI QIDQ2943562

Daniel Kifer, Ashwin Machanavajjhala

Publication date: 3 September 2015

Published in: ACM Transactions on Database Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/2514689

zbMATH Keywords

privacydifferential privacy

Mathematics Subject Classification ID

Database theory (68P15) Cryptography (94A60)

Related Items (7)

A firm foundation for statistical disclosure control ⋮ Verifying Pufferfish privacy in hidden Markov models ⋮ A Differential Privacy Mechanism that Accounts for Network Effects for Crowdsourcing Systems ⋮ Bounded privacy-utility monotonicity indicating bounded tradeoff of differential privacy mechanisms ⋮ Pufferfish ⋮ On Privacy and Accuracy in Data Releases (Invited Paper) ⋮ Pufferfish

Uses Software

• PrivateLR

Cites Work

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• Differential privacy under continual observation
• Crowd-Blending Privacy
• Pufferfish
• Towards Privacy for Social Networks: A Zero-Knowledge Based Definition of Privacy
• Noiseless Database Privacy
• Computational Differential Privacy
• How to deal with malicious users in privacy‐preserving distributed data mining
• Differential Privacy: A Survey of Results
• Private and Continual Release of Statistics
• Our Data, Ourselves: Privacy Via Distributed Noise Generation
• Universally utility-maximizing privacy mechanisms
• When Random Sampling Preserves Privacy
• Theory of Cryptography
• Differential Privacy

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