Policy impacts of statistical uncertainty and privacy
Policy impacts of statistical uncertainty and privacy
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统计不确定性和隐私的政策影响
DOI：
10.1126/science.abq4481
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发表时间：
2022
期刊：
影响因子：
56.9
通讯作者：
A. Acquisti
中科院分区：
文献类型：
--
作者：
Ryan Steed;Terrance Liu;Zhiwei Steven Wu;A. Acquisti
资助公式改革可能有助于解决数据错误和隐私保护不确定性的不平等影响差异隐私（1）是一种越来越受欢迎的保护个人隐私的工具，它在共享敏感数据时增加了统计不确定性。然而，将其引入美国人口普查局的运作一直存在争议。学者、政治家和活动家对人口普查引导的民主进程的完整性表示担忧，从重新划分选区到投票权。这场辩论提出了一些重要的问题，但大多数关于差异隐私的权衡分析都忽视了人口普查数据中更深层次的不确定性。为了说明这一点，我们研究了教育政策，利用人口普查数据分配不当的资金，因为统计的不确定性，比较量化的数据错误和可能的差异私人机制的影响。我们发现，由于我们的差异私人机制的分配不当发生在更大的分配不当，由于现有的数据错误，特别是不利的边缘化群体的边缘。但是，我们也发现，政策改革可以减少数据错误和隐私机制的不同影响。
Funding formula reform may help address unequal impacts of uncertainty from data error and privacy protections Differential privacy (1) is an increasingly popular tool for preserving individuals’ privacy by adding statistical uncertainty when sharing sensitive data. Its introduction into US Census Bureau operations (2), however, has been controversial. Scholars, politicians, and activists have raised concerns about the integrity of census-guided democratic processes, from redistricting to voting rights. The debate raises important issues, yet most analyses of trade-offs around differential privacy overlook deeper uncertainties in census data (3). To illustrate, we examine how education policies that leverage census data misallocate funding because of statistical uncertainty, comparing the impacts of quantified data error and of a possible differentially private mechanism. We find that misallocations due to our differentially private mechanism occur on the margin of much larger misallocations due to existing data error that particularly disadvantage marginalized groups. But, we also find that policy reforms can reduce the disparate impacts of both data error and privacy mechanisms.
差异化隐私和交换：检查去识别化对美国人口普查中少数群体代表性和隐私保护的影响
DOI：
--
发表时间：
2022
期刊：
2022 IEEE Symposium on Security and Priavcy
影响因子：
--
作者：
Christ, Miranda;Radway, Sarah;Bellovin, Steven M.
通讯作者：
Bellovin, Steven M.
影响因子：
10.7
作者：
Abowd, John M.;Schmutte, Ian M.
通讯作者：
Schmutte, Ian M.