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Privacy-Aware MMSE Estimation
Conference

Privacy-Aware MMSE Estimation

Abstract

We investigate the problem of the predictability of random variable $Y$ under a privacy constraint dictated by random variable $X$, correlated with $Y$, where both predictability and privacy are assessed in terms of the minimum mean-squared error (MMSE). Given that $X$ and $Y$ are connected via a binary-input symmetric-output (BISO) channel, we derive the optimal random mapping $P_{Z\vert \mathrm{Y}}$ such that the MMSE of $Y$ given $Z$ is …

Authors

Asoodeh S; Alajaji F; Linder T

Pagination

pp. 1989-1993

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

July 1, 2016

DOI

10.1109/isit.2016.7541647

Name of conference

2016 IEEE International Symposium on Information Theory (ISIT)