论文标题
人口普查中断：差异隐私对重新划分的影响
Census TopDown: The Impacts of Differential Privacy on Redistricting
论文作者
论文摘要
2020年十年型人口普查将通过新的避免披露系统发布，这将差异隐私置于广泛的数据用户的关注点中。我们考虑了普查数据的几个关键应用程序在重新划分，为关注这种新noising算法的影响的从业人员开发工具和演示时，称为TopDown。根据对德克萨斯州重建的数据的仔细研究，我们发现令人放心的证据表明，上层人口不会威胁到产生具有可容忍人口平衡的地区或检测对投票权法案执法的种族两极分化信号的能力。
The 2020 Decennial Census will be released with a new disclosure avoidance system in place, putting differential privacy in the spotlight for a wide range of data users. We consider several key applications of Census data in redistricting, developing tools and demonstrations for practitioners who are concerned about the impacts of this new noising algorithm called TopDown. Based on a close look at reconstructed Texas data, we find reassuring evidence that TopDown will not threaten the ability to produce districts with tolerable population balance or to detect signals of racial polarization for Voting Rights Act enforcement.
