Agencies, such as the U.S. Census Bureau, release data sets and statistics about groups of individuals that are used as input to a number of critical decision processes. To conform to privacy and confidentiality requirements, these agencies are often required to release privacy-preserving versions of the data. This paper studies the release of differentially private data sets and analyzes their impact on some critical resource allocation tasks under a fairness perspective. {The paper shows that, when the decisions take as input differentially private data}, the noise added to achieve privacy disproportionately impacts some groups over others. The paper analyzes the reasons for these disproportionate impacts and proposes guidelines to mitigate these effects. The proposed approaches are evaluated on critical decision problems that use differentially private census data.
翻译:美国人口普查局等机构发布关于个人群体的数据和统计数据,这些个人群体被作为若干关键决策程序的投入。为了符合隐私和保密要求,这些机构往往被要求发布保存隐私的数据版本。本文从公平的角度研究不同私人数据集的发布,并分析它们对一些重要资源分配任务的影响。 {文件表明,当决策作为不同私人数据的投入时,增加的噪音使隐私对某些群体产生不成比例的影响。文件分析了这些不成比例的影响的原因,并提出了减轻这些影响的指导方针。 所提议的方法对使用不同私人普查数据的关键决策问题进行了评估。