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In "The 2020 Census Disclosure Avoidance System TopDown Algorithm," Abowd et al.
“Matrix rounding under the Lp-discrepancy measure and its application to digital halftoning”
Tetsuo Asano, Naoki Katoh, Koji Obokata and Takeshi Tokuyama · 2003
Earlier work this paper cites.
“Matrix rounding under the Lp-discrepancy measure and its application to digital halftoning”
Tetsuo Asano, Naoki Katoh, Koji Obokata and Takeshi Tokuyama · 2003
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“Calibrating noise to sensitivity in private data analysis”
Cynthia Dwork, Frank McSherry, Kobbi Nissim and Adam Smith · 2006
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“Calibrating noise to sensitivity in private data analysis”
Cynthia Dwork, Frank McSherry, Kobbi Nissim and Adam Smith · 2006
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“Concentrated differential privacy: Simplifications, extensions, and lower bounds”
Mark Bun and Thomas Steinke · 2016
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“Concentrated differential privacy: Simplifications, extensions, and lower bounds”
Mark Bun and Thomas Steinke · 2016
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“The discrete Gaussian for differential privacy”
Clément Canonne, Gautam Kamath and Thomas Steinke · 2020
Earlier work this paper cites.
“2020 Census data products: Workshop on the Demographic and Housing Characteristics Files”, 2022
Committee on National Statistics · 2020
Earlier work this paper cites.
“2020 Census Disclosure Avoidance System detailed summary metrics”, 2023
U.S. Census Bureau · 2020
Earlier work this paper cites.
“About 2020 Census Data Products”, 2023
U.S. Census Bureau · 2020
Earlier work this paper cites.
“Developing the DAS: Demonstration Data and Progress Metrics”, 2023
U.S. Census Bureau · 2020
Earlier work this paper cites.
“The discrete Gaussian for differential privacy”
Clément Canonne, Gautam Kamath and Thomas Steinke · 2020
Earlier work this paper cites.
“2020 Census data products: Workshop on the Demographic and Housing Characteristics Files”, 2022
Committee on National Statistics · 2020
Cited alongside, same era.
“2020 Census Disclosure Avoidance System detailed summary metrics”, 2023
U.S. Census Bureau · 2020
Cited alongside, same era.
“About 2020 Census Data Products”, 2023
U.S. Census Bureau · 2020
Cited alongside, same era.
“Developing the DAS: Demonstration Data and Progress Metrics”, 2023
U.S. Census Bureau · 2020
Cited alongside, same era.
“Applying cell-key perturbation to 2021 Census outputs”, 2021
Iain Dove, Stephanie Blanchard and Keith Spicer · 2021
Cited alongside, same era.
“Applying cell-key perturbation to 2021 Census outputs”, 2021
Iain Dove, Stephanie Blanchard and Keith Spicer · 2021
Cited alongside, same era.
“Making Differential Privacy Work for Census Data Users”
Cory McCartan, Tyler Simko and Kosuke Imai · 2023
Closest in time.
“Protecting personal data in Census 2021 results”, 2023
Office of National Statistics, UK · 2023
Closest in time.
“The 2010 Census Confidentiality Protections Failed, Here’s How and Why”, 2023
John Abowd et al · 2023
Closest in time.
“Computing confidence intervals using the 2010 Census Redistricting NMF”, 2023
Ryan Cumings-Menon, Michael Hawes and Matthew Spence · 2023
Closest in time.
“Making Differential Privacy Work for Census Data Users”
Cory McCartan, Tyler Simko and Kosuke Imai · 2023
Closest in time.
“Protecting personal data in Census 2021 results”, 2023
Office of National Statistics, UK · 2023
Closest in time.
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“The 2020 Census Disclosure Avoidance System TopDown Algorithm”
John Abowd et al · 2022
Cited alongside, same era.
Daniel Kifer et al · 2022
Cited alongside, same era.
“The 2020 Census Disclosure Avoidance System TopDown Algorithm”
John Abowd et al · 2022
Cited alongside, same era.
Daniel Kifer et al · 2022
Cited alongside, same era.
“The 2010 Census Confidentiality Protections Failed, Here’s How and Why”, 2023
John Abowd et al · 2023
Cited alongside, same era.
“Computing confidence intervals using the 2010 Census Redistricting NMF”, 2023
Ryan Cumings-Menon, Michael Hawes and Matthew Spence · 2023
Cited alongside, same era.
“An Approximate Monte Carlo Simulation method for estimating uncertainty and constructing confidence intervals for 2020 Census statistics”
Robert Ashmead et al · 2024
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“Full-information estimation for hierarchical data”
Ryan Cumings-Menon · 2024
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“Geographic spines in the 2020 Census Disclosure Avoidance System”
Ryan Cumings-Menon et al · 2024
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“An Approximate Monte Carlo Simulation method for estimating uncertainty and constructing confidence intervals for 2020 Census statistics”
Robert Ashmead et al · 2024
Closest in time.
“Full-information estimation for hierarchical data”
Ryan Cumings-Menon · 2024
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“Geographic spines in the 2020 Census Disclosure Avoidance System”
Ryan Cumings-Menon et al · 2024
Closest in time.