References

Barrientos, Andrés F, Aaron R Williams, Joshua Snoke, and Claire McKay Bowen. 2024. “A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data.” Journal of the American Statistical Association 119 (545): 52–65.
Bowen, C. M., and F. Liu. 2020. “Comparative Study of Differentially Private Data Synthesis Methods.” Statistical Science 35: 280–307.
Bowen, Claire McKay, Fang Liu, and Bingyue Su. 2021. “Differentially Private Data Release via Statistical Election to Partition Sequentially: Statistical Election to Partition Sequentially.” Metron 79 (1): 1–31.
Bowen, Claire McKay, and Joshua Snoke. 2021. “Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge.” Journal of Privacy and Confidentiality 11 (1).
Drechsler, J. 2011. Synthetic Datasets for Statistical Disclosure Control. Springer: New York.
Drechsler, Jörg. 2022. “Challenges in Measuring Utility for Fully Synthetic Data.” In Privacy in Statistical Databases, edited by J. Domingo-Ferrer and M. Laurent, 13463:220–33. Lecture Notes in Computer Science. Springer.
Drechsler, Jörg, Stefan Bender, and Susanne Rässler. 2008. “Comparing Fully and Partially Synthetic Datasets for Statistical Disclosure Control in the German IAB Establishment Panel.” Transactions on Data Privacy 1 (December): 105–30.
Drechsler, J., and J. P. Reiter. 2008. “Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data.” In Privacy in Statistical Databases, edited by J. Domingo-Ferrer and Y. Saygin, 5262:227–38. Lecture Notes in Computer Science. Springer.
Fienberg, Stephen E, and Jiashun Jin. 2018. “Statistical Disclosure Limitation for~ Data~ Access.” In Encyclopedia of Database Systems (2nd Ed.).
Gordon, AD, L Breiman, JH Friedman, RA Olshen, and Cj J Stone. 1984. “Classification and Regression Trees.” Biometrics 40 (3): 874.
Karr, Alan F, Christine N Kohnen, Anna Oganian, Jerome P Reiter, and Ashish P Sanil. 2006. “A Framework for Evaluating the Utility of Data Altered to Protect Confidentiality.” The American Statistician 60 (3): 224–32.
Raghunathan, T. E., J. P. Reiter, and D. B. Rubin. 2003. “Multiple Imputation for Statistical Disclosure Limitation.” Journal of Official Statistics 19: 1–16.
Reiter, J. P., and T. E. Raghunathan. 2007. “The Multiple Adaptations of Multiple Imputation.” Journal of the American Statistical Association 102: 1462–71.
Reiter, Jerome P. 2005. “Using CART to Generate Partially Synthetic Public Use Microdata.” Journal of Official Statistics 21 (3): 441.
Rubin, D. B. 1993. “Discussion Statistical Disclosure Limitation.” Journal of Official Statistics 9: 461–68.
Rubin, Donald B. 1977. “Formalizing Subjective Notions about the Effect of Nonrespondents in Sample Surveys.” Journal of the American Statistical Association 72 (359): 538–43.
Sakshaug, Joseph W, and Trivellore E Raghunathan. 2010. “Synthetic Data for Small Area Estimation.” In Privacy in Statistical Databases, edited by J. Domingo-Ferrer and E. Magkos, 6344:162–73. Lecture Notes in Computer Science. Springer.
Snoke, Joshua, Gillian M. Raab, Beata Nowok, Chris Dibben, and Aleksandra Slavkovic. 2018a. “General and Specific Utility Measures for Synthetic Data.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 181 (3): 663–88. https://doi.org/10.1111/rssa.12358.
———. 2018b. “General and Specific Utility Measures for Syntheticdata.” Journal of the Royal Statistical Society, January.
Snoke, Joshua, Gillian M Raab, Beata Nowok, Chris Dibben, and Aleksandra Slavkovic. 2018c. “General and Specific Utility Measures for Synthetic Data.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 181 (3): 663–88.
Williams, Aaron R., and Claire McKay Bowen. 2023. “The Promise and Limitations of Formal Privacy.” WIREs Computational Statistics 15 (6): e1615. https://doi.org/10.1002/wics.1615.
Woo, Mi-Ja, Jerome P. Reiter, Anna Oganian, and Alan F. Karr. 2009a. “Global Measures of Data Utility for Microdata Masked for Disclosure Limitation.” Journal of Privacy and Confidentiality 1 (1). https://doi.org/10.29012/jpc.v1i1.568.
Woo, Mi-Ja, Jerome P Reiter, Anna Oganian, and Alan F Karr. 2009b. “Global Measures of Data Utility for Microdata Masked for Disclosure Limitation.” Journal of Privacy and Confidentiality 1 (1).