Have a personal or library account? Click to login
A Rejoinder to Garfinkel (2023) – Legacy Statistical Disclosure Limitation Techniques for Protecting 2020 Decennial US Census: Still a Viable Option Cover

A Rejoinder to Garfinkel (2023) – Legacy Statistical Disclosure Limitation Techniques for Protecting 2020 Decennial US Census: Still a Viable Option

Open Access
|Sep 2023

References

  1. Abowd, J.M. 2021. Declaration of John M. Abowd. Case no. 3:21-CV-211-RAH-ECM-KCN, U.S. District Court for the Middle District of Alabama. Available at: https://censusproject.files.wordpress.com/2021/04/2021.04.13-abowd-declaration-alabama-v.-commerce-ii-final-signed.pdf.
  2. Abowd, J., R. Ashmead, R. Cumings-Menon, S. Garfinkel, M. Heineck, C. Heiss, and R. Johns. 2022. “The 2020 Census Disclosure Avoidance System TopDown Algorithm.” Harvard Data Science Review 2. Available at: https://hdsr.mitpress.mit.edu/pub/7evz361i (accessed May 2023).
  3. Abowd, J.M., G.L. Benedetto, S.L. Garfinkel, S.A. Dahl, A.N. Dajani, M. Graham, and M.B. Hawes. 2020. The Modernization of Statistical Disclosure Limitation at the U.S. Census Bureau. Available at: https://www.census.gov/library/working-papers/2020/adrm/CED-WP-2020-009.html (accessed May 2023).
  4. Bach, F. 2022. “Differential Privacy and Noisy Confidentiality Concepts for European Population Statistics.” Journal of Survey Statistics and Methodology, 10: 642–687. DOI: https://doi.org/10.1093/jssam/smab044.
  5. Dajani, A.N., A.D. Lauger, P.E. Singer, D. Kifer, J.P. Reiter, A., Machanavajjhala, S.L. Garfinkel, S.A. Dahl, M. Graham, V. Karwa, H. Kim, P. Leclerc, I.M. Schmutte, W.N. Sexton, L. Vilhuber, and J.M. Abowd. 2017. “The modernization of statistical disclosure limitation at the U.S. Census Bureau.” In: Census Scientific Advisory Committee Meeting, September 14 – 15, Suitland MD, USA. Available at: https://www.census.gov/library/video/2017/2017-09-sac.html (accessed May 2023).
  6. Dinur, I., and Nissim. 2003. “Revealing Information While Preserving Privacy.” In: Proceedings of the 22nd ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems: 202-210, June 9–12, 2003, San Diego CA, USA. DOI: https://doi.org/10.1145/773153.773173.
  7. Dwork, C., N. Kohli, and D. Mulligan. 2019. “Differential Privacy in Practice: Expose Your Epsilons!” Journal of Privacy and Confidentiality 9(2). DOI: https://doi.org/10.29012/jpc.689.
  8. Flaxman, A.D., and O. Keyes. 2022. “The Risk of Linked Census Data to Transgender Children: A Simulation Study,” In: 2020 Census Data Products: Workshop on the Demographic and Housing Characteristics Files, June 21–22, Washington D.C. Available at: https://www.nationalacademies.org/event/06-21-2022/docs/DF3CD148E8CAEC0B93FB88C4A7820AC2D54503ACDD18?noSaveAs=1 (accessed June 2022).
  9. Garfinkel, S. 2023. “Legacy Statistical Disclosure Limitation Techniques Were Not An Option for the 2020 US Census of Population and Housing.” Journal of Official Statistics, this issue.
  10. Hawes, M. 2022. “Reconstruction and Reidentification of the Demographic and Housing Characteristics File (DHC)”, Presentation to the Census Scientific Advisory Committee, September 29–30, 2022, Washington D.C. Available at: https://www2.census.gov/about/partners/cac/sac/meetings/2022-09/presentation-reconstruction-and-re-dentification-of-dhc-file.pdf (accessed March 2023).
  11. Jarmin, R. 2019. Census Bureau Adopts Cutting Edge Privacy Protection for 2020 Census. Available at: https://www.census.gov/newsroom/blogs/random-samplings/2019/02/-census_bureau_adopts.html (accessed May 2023).
  12. Keyes, O., and A.D. Flaxman. 2022. “How Census Data Put Trans Children at Risk.” Scientific American 21. Available at: https://www.scientificamerican.com/article/how-census-data-put-trans-children-at-risk/ (accessed May 2023).
  13. McKenna, L. 2019. Disclosure Avoidance Techniques Used for the 1960 Through 2010 Decennial Censuses of Population and Housing Public Use Microdata Samples Research and Methodology Directorate, U.S. Census Bureau. Available at: https://www.census.gov/library/working-papers/2019/adrm/CED-WP-2019-007.html (accessed May 2023).
  14. Menger, G. 2021. “Using 2020 Census Data.” Applied Geographic Solutions. Available at: https://appliedgeographic.com/2021/09/using-2020-census-data/ (accessed May 2023).
  15. Muralidhar, K., J. Domingo-Ferrer. 2023. “Database Reconstruction Is Not So Easy and Is Different from Reidentification.” Journal of Official Statistics, this issue.
  16. McKenna, L. 2019. U.S. Census Bureau Reidentification Techniques. Research and Methodology Directorate, U.S. Census Bureau. Available at: https://www2.census.gov/adrm/CED/Papers/CY19/2019-04-Reidentification%20studies-20210331FinRed.pdf (accessed May 2023).
  17. Muralidhar, K. 2022. “A Re-Examination of the Census Bureau Reconstruction and Reidentification Attack.” In Privacy in Statistical Databases – PSD 2022, Paris, France. Springer: 312–323. DOI: https://doi.org/10.1007/978-3-031-13945-1.
  18. Ruggles, S. 2018. Implications of Differential Privacy for Census Bureau Data Dissemination, Institute for Social Research and Data Innovation, University of Minnesota. Available at: https://apps.bea.gov/fesac/meetings/Ruggles%20Presentation%20Revised.pdf (accessed May 2023).
  19. Samarati, P. 2001. “Protecting Respondents Identities in Microdata Release.” IEEE Transactions on Knowledge and Data Engineering 13(6): 1010–1027.
  20. Zayatz, L., J. Lucero, P. Massell, A. Ramanayake. 2009. Disclosure Avoidance for Census 2010 and American Community Survey Five-year Tabular Data Products, Census Bureau Research Report RRS2009-10. Available at: https://www.census.gov/content/-dam/Census/library/working-papers/2009/adrm/rrs2009-10.pdf (accessed May 2023).
Language: English
Page range: 411 - 420
Submitted on: May 1, 2023
|
Accepted on: Jun 1, 2023
|
Published on: Sep 7, 2023
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Krishnamurty Muralidhar, Josep Domingo-Ferrer, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.