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Geographic Spines in the 2020 Census Disclosure Avoidance System
v1v2v3 (latest)

Geographic Spines in the 2020 Census Disclosure Avoidance System

Journal of Privacy and Confidentiality (JPC), 2022
30 March 2022
Ryan Cumings-Menon
John M. Abowd
Robert Ashmead
Daniel Kifer
Philip Leclerc
Jeffrey C. Ocker
M. Ratcliffe
Pavel I Zhuravlev
    CML
ArXiv (abs)PDFHTML

Papers citing "Geographic Spines in the 2020 Census Disclosure Avoidance System"

6 / 56 papers shown
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean
  Estimation
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean EstimationNeural Information Processing Systems (NeurIPS), 2022
Kristian Georgiev
Samuel B. Hopkins
FedML
314
28
0
01 Nov 2022
Differentially private multivariate medians
Differentially private multivariate medians
Kelly Ramsay
Aukosh Jagannath
Shojaéddin Chenouri
237
4
0
12 Oct 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy GuaranteesInformation Technology Convergence and Services (ITCS), 2022
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
303
8
0
08 Sep 2022
Confidentiality Protection in the 2020 US Census of Population and
  Housing
Confidentiality Protection in the 2020 US Census of Population and HousingAnnual Review of Statistics and Its Application (ARSIA), 2022
John M. Abowd
Michael B. Hawes
222
30
0
07 Jun 2022
Subject Membership Inference Attacks in Federated Learning
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri
Pallika H. Kanani
Virendra J. Marathe
Daniel W. Peterson
339
33
0
07 Jun 2022
Exact Inference with Approximate Computation for Differentially Private
  Data via Perturbations
Exact Inference with Approximate Computation for Differentially Private Data via PerturbationsJournal of Privacy and Confidentiality (JPC), 2019
Ruobin Gong
247
26
0
26 Sep 2019
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