对Mulalidhar和Domingo Ferrer(2023)的评论——遗产统计披露限制技术不是2020年美国人口和住房普查的选择

IF 0.5 4区 数学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS Journal of Official Statistics Pub Date : 2023-09-01 DOI:10.2478/jos-2023-0018
S. Garfinkel
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引用次数: 2

摘要

摘要Krish Muralidhar和Josep Domingo Ferrer的文章数据库重建并不那么容易,是对美国人口普查局决定放弃传统的统计披露限制技术,转而使用基于差异隐私的定制算法来保护人口普查局2020年人口和住房普查(以下简称2020人口普查)公布的数据产品的延伸攻击。这一回应解释了为什么差异隐私是保护2020年人口普查收集的敏感数据的唯一现实选择。然而,差异隐私有一个社会成本:它要求从业者承认,在公布的官方统计数据的效用和那些根据保密承诺收集数据的人的隐私损失之间,存在着内在的权衡。
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Comment to Mulalidhar and Domingo-Ferrer (2023) – Legacy Statistical Disclosure Limitation Techniques Were Not An Option for the 2020 US Census of Population And Housing
Abstract The Article Database Reconstruction is Not So Easy and Is Different from Reidentification, by Krish Muralidhar and Josep Domingo-Ferrer, is an extended attack on the decision of the U.S. Census Bureau to turn its back on legacy statistical disclosure limitation techniques and instead use a bespoke algorithm based on differential privacy to protect the published data products of the Census Bureau’s 2020 Census of Population and Housing (henceforth referred to as the 2020 Census). This response explains why differential privacy was the only realistic choice for protecting sensitive data collected for the 2020 Census. However, differential privacy has a social cost: it requires that practitioners admit that there is inherently a trade-off between the utility of published official statistics and the privacy loss of those whose data are collected under a pledge of confidentiality.
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来源期刊
Journal of Official Statistics
Journal of Official Statistics STATISTICS & PROBABILITY-
CiteScore
1.90
自引率
9.10%
发文量
39
审稿时长
>12 weeks
期刊介绍: JOS is an international quarterly published by Statistics Sweden. We publish research articles in the area of survey and statistical methodology and policy matters facing national statistical offices and other producers of statistics. The intended readers are researchers or practicians at statistical agencies or in universities and private organizations dealing with problems which concern aspects of production of official statistics.
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