The 2020 Census Disclosure Avoidance System TopDown Algorithm-Reference-Cited by-同舟云学术

The 2020 Census Disclosure Avoidance System TopDown Algorithm

Published:2022-06-24 Issue:Special Issue 2 Volume: Page:
ISSN:
Container-title:Special Issue 2: Differential Privacy for the 2020 U.S. Census
language:en
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Author:

Abowd John¹^ORCID,Ashmead Robert¹^ORCID,Cumings-Menon Ryan¹^ORCID,Garfinkel Simson²^ORCID,Heineck Micah³,Heiss Christine³,Johns Robert³^ORCID,Kifer Daniel⁴,Leclerc Philip¹,Machanavajjhala Ashwin⁵,Moran Brett¹,Sexton William⁶^ORCID,Spence Matthew¹,Zhuravlev Pavel¹^ORCID

Affiliation:

1. United States Census Bureau, Suitland, Maryland, United States of America

2. Formerly United States Census Bureau, Suitland, Maryland, United States of America

3. Knexus Research Corporation, Alexandria, Virginia, United States of America

4. United States Census Bureau, Suitland, Maryland, United States of America; Department of Computer Science and Engineering, School of Electrical Engineering and Computer Science, Pennsylvania State University, State College, Pennsylvania, United States of America; Center for Social Data Analytics, Pennsylvania State University, State College, Pennsylvania, United States of America

5. Department of Computer Science, Duke University, Durham, North Carolina, United States of America; Tumult Labs, Durham, North Carolina, United States of America

6. Formerly United States Census Bureau, Suitland, Maryland, United States of America; Tumult Labs, Durham, North Carolina, United States of America

Publisher

MIT Press - Journals

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