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Jun, 2021
不需要私有协方差估计的协方差感知私有均值估计
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
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Gavin Brown, Marco Gaboardi, Adam Smith, Jonathan Ullman, Lydia Zakynthinou
TL;DR
提出两种样本有效的差分隐私均值估计器,可用于具有未知协方差的 $d$ 维(子)高斯分布。这些估计器是基于一种简单通用的设计差分隐私机制的方法实现的,但需要新颖的技术步骤使其保持隐私和有效性。
Abstract
We present two
sample-efficient
differentially private
mean estimators for $d$-dimensional (sub)Gaussian distributions with unknown
covariance
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