arXiv 20 Dec 2023 · cs.CR · 4 citations (OpenAlex)
arXiv:2312.14191 · PDF · DOI · OpenAlex · Extracted main text
McCartan et al. (2023) call for "making differential privacy work for census data users." This commentary explains why the 2020 Census Noisy Measurement Files (NMFs) are not the best focus for that plea. The August 2021 letter from 62 prominent researchers asking for production of the direct output of the differential privacy system deployed for the 2020 Census signaled the engagement of the scholarly community in the design of decennial census data products. NMFs, the raw statistics produced by the 2020 Census Disclosure Avoidance System before any post-processing, are one component of that design-the query strategy output. The more important component is the query workload output-the statistics released to the public. Optimizing the query workload-the Redistricting Data (P.L. 94-171) Summary File, specifically-could allow the privacy-loss budget to be more effectively managed. There could be fewer noisy measurements, no post-processing bias, and direct estimates of the uncertainty from disclosure avoidance for each published statistic.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Abowd, John M., Ashmead, Robert, Cumings-Menon, Ryan, Garfinkel, Sim… (2022) The 2020 Census Disclosure Avoidance System TopDown Algorithm self | 0.811 | 4 | 2 | 100% |
| 2 | (2021) DAS 2020 Redistricting Production Code Release | 0.644 | 2 | 2 | 100% |
| 3 | Cumings-Menon, Ryan, Abowd, John M., Ashmead, Robert, Kifer, Daniel,… (2023) Geographic Spines in the 2020 Census Disclosure Avoidance System self | 0.644 | 2 | 2 | 100% |
| 4 | McCartan, Cory, Simko, Tyler, Imai, Kosuke (2023) Making Differential Privacy Work for Census Data Users | 0.644 | 2 | 2 | 100% |
| 5 | 1:22-cv-09304 (JSR) Stipulation and order of dismissal | 0.585 | 3 | 1 | 100% |
| 6 | Final Content Design for the Prototype 2020 Census Redistricting Data File | 0.405 | 1 | 1 | 100% |
| 7 | 1:22-cv-09304 (JSR) Opinion and order | 0.405 | 1 | 1 | 100% |
| 8 | (2020) 2020 Census Data Products: Data Needs and Privacy Considerations: Proceedings of a Workshop | 0.405 | 1 | 1 | 100% |
| 9 | (2023) Protecting personal data in Census 2021 results | 0.405 | 1 | 1 | 100% |
| 10 | Abowd, John M., Stephens, Bryce, Vilhuber, Lars, Andersson, Fredrik,… (2009) The LEHD Infrastructure Files and the Creation of the Quarterly Workforce Indicator self | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 20 scored citations.