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Confidentiality Protection in the 2020 US Census of Population and Housing

John M AbowdMichael B Hawes
Jun 2022
摘要
In an era where external data and computational capabilities far exceedstatistical agencies' own resources and capabilities, they face the renewedchallenge of protecting the confidentiality of underlying microdata whenpublishing statistics in very granular form and ensuring that these granulardata are used for statistical purposes only. Conventional statisticaldisclosure limitation methods are too fragile to address this new challenge.This article discusses the deployment of a differential privacy framework forthe 2020 US Census that was customized to protect confidentiality, particularlythe most detailed geographic and demographic categories, and deliver controlledaccuracy across the full geographic hierarchy.
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