A Generalized Constraint of Privacy: <inline-formula> <tex-math notation="LaTeX">$\alpha$ </tex-math></inline-formula>-Mutual Information Security

A Generalized Constraint of Privacy: <inline-formula> <tex-math notation="LaTeX">$\alpha$ </tex-math></inline-formula>-Mutual Information Security

We study the security of a variety of cryptographic tasks including traditional privacy (e.g., seeded extractors, encryptions, commitments, and secret sharing schemes) and differential privacy from the perspective of &#x03B1;-mutual information. As far as we know, encryption scheme, commitment,...

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Bibliographic Details
Main Author: Yanqing Yao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Differential privacy
mutual information
Rényi entropy
statistical security
traditional privacy schemes
Online Access:https://ieeexplore.ieee.org/document/8672471/

Internet

https://ieeexplore.ieee.org/document/8672471/

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