Total variation distance privacy: accurately measuring inference attacks and improving utility

DOI10.1016/J.INS.2023.01.037MaRDI QIDQ6496137

Zheli Liu, Zhewei Liu, Xinhao Li, Jingyu Jia, Chang Tan, Siyi Lv, Changyu Dong

Publication date: 2 May 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

differential privacytotal variation distancemembership inference attacks

Mathematics Subject Classification ID

Computer science (68-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Cites Work

• Distributed differential privacy via shuffling
• The privacy blanket of the shuffle model
• Extremal Mechanisms for Local Differential Privacy
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Pufferfish
• The Algorithmic Foundations of Differential Privacy
• The Composition Theorem for Differential Privacy
• Universally Utility-maximizing Privacy Mechanisms
• Theory of Cryptography

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