doi.org/10.1109/jstsp.2018.2850021

Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs Under Full Data

Matthew P. Johnson

,

,

Supriyo Chakraborty

IEEE Journal of Selected Topics in Signal Processing7.50

Volume: 12, Issue: 5, Pages: 1093 - 1105

Published: Oct 1, 2018

Abstract

We study a fine-grained model in which a perturbed version of some data (

D/tex-math>

) is to be disclosed, with the aims of permitting the receiver to accurately infer some useful aspects (...

Paper Fields

Paper Details

Title

Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs Under Full Data

DOI

doi.org/10.1109/jstsp.2018.2850021

Published Date

Oct 1, 2018

Journal

IEEE Journal of Selected Topics in Signal Processing

Volume

12

Issue

5

Pages

1093 - 1105

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Notes

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