Gaussian Data Privacy Under Linear Function Recoverability

A user's data is represented by a Gaussian random variable. Given a linear function of the data, a querier is required to recover, with at least a prescribed accuracy level, the function value based on a query response provided by the user. The user devises the query response, subject to the re...

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Bibliographic Details

Published in:	Proceedings / IEEE International Symposium on Information Theory pp. 632 - 636
Main Author:	Nageswaran, Ajaykrishnan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.06.2022
Subjects:	Data privacy Gaussian data privacy Information theory linear function computation Privacy query response Random variables recoverability Upper bound
ISSN:	2157-8117
Online Access:	Get full text
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