Differential Privacy for Databases

被引：4
|
作者：
Near, Joseph P. [1 ]
He, Xi [2 ]
机构：
[1] Univ Vermont, Burlington, VT 05405 USA
[2] Univ Waterloo, Waterloo, ON, Canada
来源：
FOUNDATIONS AND TRENDS IN DATABASES | 2021年 / 11卷 / 02期
关键词：
QUERIES; NOISE;
D O I：
10.1561/1900000066
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Differential privacy is a promising approach to formalizing privacy-that is, for writing down what privacy means as a mathematical equation. This book is provides overview of differential privacy techniques for answering database-style queries. Within this area, we describe useful algorithms and their applications, and systems and tools that implement them.
引用
收藏
页码：109 / 225
页数：117
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