This paper describes privacy-preserving approaches for the statistical analysis. It describes motivations for privacy-preserving approaches for the statistical analysis of sensitive data, presents examples of use cases where such methods may apply and describes relevant technical capabilities to assure privacy preservation while still allowing analysis of sensitive data. Our focus is on methods that enable protecting privacy of data while it is being processed, not only while it is at rest on a system or in transit between systems. The information in this document is intended for use by statisticians and data scientists, data curators and architects, IT specialists, and security and information assurance specialists, so we explicitly avoid cryptographic technical details of the technologies we describe.
翻译:本文件介绍统计分析的隐私保护办法,说明采用隐私保护办法对敏感数据进行统计分析的动机,举例说明可适用这种方法的使用情况,并介绍相关技术能力,以确保保护隐私,同时仍然允许分析敏感数据,我们的重点是在数据处理期间保护数据隐私的方法,不仅在数据在系统或系统之间处于休息状态时如此,本文件中的信息供统计人员和数据科学家、数据保管员和设计师、信息技术专家以及安全和信息保证专家使用,因此我们明确避免我们所描述的技术的密码技术细节。