Query Evaluation under Differential Privacy

IF 0.9 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Sigmod Record Pub Date : 2023-10-30 DOI:10.1145/3631504.3631506

Wei Dong, Ke Yi

引用次数: 0

Abstract

Differential privacy has garnered significant attention in recent years due to its potential in offering robust privacy protection for individual data during analysis. With the increasing volume of sensitive information being collected by organizations and analyzed through SQL queries, the development of a general-purpose query engine that is capable of supporting a broad range of queries while maintaining differential privacy has become the holy grail in privacypreserving query release. Towards this goal, this article surveys recent advances in query evaluation under differential privacy.

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差分隐私下的查询评估

近年来，差分隐私因其在分析过程中为个人数据提供强大的隐私保护的潜力而引起了极大的关注。随着组织通过SQL查询收集和分析越来越多的敏感信息，开发一种通用的查询引擎，能够支持广泛的查询，同时保持不同的隐私，已经成为隐私保护查询发布的圣杯。为了实现这一目标，本文综述了差分隐私下查询评估的最新进展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sigmod Record 工程技术-计算机：软件工程

CiteScore

3.10

自引率

9.10%

发文量

审稿时长

>12 weeks

期刊介绍： SIGMOD investigates the development and application of database technology to support the full range of data management needs. The scope of interests and members is wide with an almost equal mix of people from industryand academia. SIGMOD sponsors an annual conference that is regarded as one of the most important in the field, particularly for practitioners. Areas of Special Interest: Active and temporal data management, data mining and models, database programming languages, databases on the WWW, distributed data management, engineering, federated multi-database and mobile management, query processing & optimization, rapid application development tools, spatial data management, user interfaces.