Privacy Integrated Queries An Extensible Platform for Privacy-Preserving Data Analysis

被引：0
作者：
McSherry, Frank [1 ]
机构：
[1] Microsoft Res, SVC, Redmond, WA 98052 USA
来源：
ACM SIGMOD/PODS 2009 CONFERENCE | 2009年
关键词：
anonymization; confidentiality; differential privacy; LINQ;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We report on the design and implementation of the Privacy Integrated Queries (PINQ) platform for privacy-preserving data analysis. PINQ provides analysts with a programming interface to unscrubbed data through a SQL-like language. At the same time, the design of PINQ's analysis language and its careful implementation provide formal guarantees of differential privacy for any and all uses of the platform. PINQ's unconditional structural guarantees require no trust placed in the expertise or diligence of the analysts, substantially broadening the scope for design and deployment of privacy-preserving data analysis, especially by non-experts.
引用
收藏
页码：19 / 30
页数：12
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