Guidelines for Implementing and Auditing Differentially Private Systems
Guidelines for Implementing and Auditing Differentially Private Systems
复制标题
实施和审核差异私有系统的指南
DOI：
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Danfeng Zhang
中科院分区：
文献类型：
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作者：
Daniel Kifer;Solomon Messing;Aaron Roth;Abhradeep Thakurta;Danfeng Zhang
差分隐私是对算法和代码的信息论约束。它提供了隐私泄露的量化和正式的隐私保证，目前被认为是隐私保护的黄金标准。在本文中，我们提供了一个初始的“最佳实践”开发差分隐私平台，单元测试技术，具体到差分隐私，指导方针，检查差分隐私是否被正确地应用在应用程序中，参数设置的建议。本文的起源是Facebook和Social Science One的一项倡议，旨在为社会科学研究人员提供对URL共享数据集的编程访问。为了在保护隐私的同时最大限度地利用数据进行研究，研究人员应该通过支持差异隐私的交互式平台访问数据。
本文的目的是提供一般可以在各种系统中重复使用的指导方针和建议。出于这个原因，除了详细信息和理论出现在学术论文中的系统外，不会命名特定的平台。
Differential privacy is an information theoretic constraint on algorithms and code. It provides quantification of privacy leakage and formal privacy guarantees that are currently considered the gold standard in privacy protections. In this paper we provide an initial set of "best practices" for developing differentially private platforms, techniques for unit testing that are specific to differential privacy, guidelines for checking if differential privacy is being applied correctly in an application, and recommendations for parameter settings. The genesis of this paper was an initiative by Facebook and Social Science One to provide social science researchers with programmatic access to a URL-shares dataset. In order to maximize the utility of the data for research while protecting privacy, researchers should access the data through an interactive platform that supports differential privacy.
The intention of this paper is to provide guidelines and recommendations that can generally be re-used in a wide variety of systems. For this reason, no specific platforms will be named, except for systems whose details and theory appear in academic papers.
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DOI：
10.1109/csf.2016.34
发表时间：
2016-08
期刊：
2016 IEEE 29th Computer Security Foundations Symposium (CSF)
影响因子：
--
作者：
C. Păsăreanu;Quoc-Sang Phan;P. Malacaria
通讯作者：
C. Păsăreanu;Quoc-Sang Phan;P. Malacaria
影响因子：
1.8
作者：
Albarghouthi, Aws;Hsu, Justin
通讯作者：
Hsu, Justin
影响因子：
6.9
作者：
J. Almeida;M. Barbosa;G. Barthe;François Dupressoir;M. Emmi
通讯作者：
J. Almeida;M. Barbosa;G. Barthe;François Dupressoir;M. Emmi
影响因子：
10.7
作者：
Abowd, John M.;Schmutte, Ian M.
通讯作者：
Schmutte, Ian M.