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

被引:3
|
作者
Garfinkel, Simson [1 ]
机构
[1] 480 Main St, New York, NY 10044 USA
关键词
Differential privacy; 2020 US Census; Statistical disclosure limitation; Statistical disclosure avoidance; topdown algorithm;
D O I
10.2478/jos-2023-0018
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
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.
引用
收藏
页码:399 / 410
页数:12
相关论文
共 1 条