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The synthetic data approach to data confidentiality has been actively researched on, and for the past decade or so, a good number of high quality work on developing innovative synthesizers, creating appropriate utility measures and risk measures, among others, have been published.
Imputation of confidential data sets with spatial locations using disease mapping models
Paiva, T., Chakraborty, A., Reiter, J. P., and Gelfand, A. E. (2014) · 1945
Earlier work this paper cites.
The Bayesian bootstrap
Rubin, D. B. (1981) · 1981
Earlier work this paper cites.
Disclosure-limited data dissemination
Duncan, G. T. and Lambert, D. (1986) · 1986
Earlier work this paper cites.
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · 1987
Earlier work this paper cites.
The risk of disclosure for microdata
Duncan, G. T. and Lambert, D. (1989) · 1989
Earlier work this paper cites.
Measures of disclosure risk and harm
Lambert, D. (1993) · 1993
Earlier work this paper cites.
Statistical analysis of masked data
Little, R. J. A. (1993) · 1993
Earlier work this paper cites.
Discussion statistical disclosure limitation
Rubin, D. B. (1993) · 1993
Earlier work this paper cites.
A Bayesian approach to data disclosure: Optimal intruder behavior for continuous data
Fienberg, S. E., Makov, U., and Sanil, A. P. (1997) · 1997
Earlier work this paper cites.
Simple demographics often identify people uniquely
Sweeney, L. (2000) · 2000
Earlier work this paper cites.
Comparing sdc methods for microdata on the basis of information loss and disclosure risk
Domingo-Ferrer, J., Mateo-Sanz, J., and Torra, V. (2001) · 2001
Earlier work this paper cites.
Multiple imputation for statistical disclosure limitation
Raghunathan, T. E., Reiter, J. P., and Rubin, D. B. (2003) · 2003
Earlier work this paper cites.
Differential privacy
Dwork, C. (2006) · 2006
Earlier work this paper cites.
Record level measures of disclosure risk for survey micro data
Elamir, E. and Skinner, C. J. (2006) · 2006
Earlier work this paper cites.
A framework for evaluating the utility of data altered to protect confidentiality
Karr, A. F., Kohnen, C. N., Oganian, A., Reiter, J. P., and Sanil, A. P. (2006) · 2006
Earlier work this paper cites.
The multiple adaptations of multiple imputation
Reiter, J. P. and Raghunathan, T. E. (2007) · 2007
Earlier work this paper cites.
Accounting for intruder uncertainty due to sampling when estimating identification disclosure risks in partially synthetic data
Drechsler, J. and Reiter, J. P. (2008) · 2008
Earlier work this paper cites.
Privacy: Theory meets practice on the map
Machanavajjhala, A., Kifer, D., Abowd, J., Gehrke, J., and Vilhuber, L. (2008) · 2008
Cited alongside, same era.
Nonparametric bayes modeling of multivariate categorical data
Dunson, D. B. and Xing, C. (2009) · 2009
Cited alongside, same era.
Estimating risks of identification disclosure in partially synthetic data
Reiter, J. P. and Mitra, R. (2009) · 2009
Cited alongside, same era.
Sampling with synthesis: A new approach to releasing public use microdata samples of census data
Drechsler, J. and Reiter, J. P. (2010) · 2010
Cited alongside, same era.
Assessing the protection provided by misclassification-based disclosure limitation methods for survey microdata
Shlomo, N. and Skinner, C. (2010) · 2010
Cited alongside, same era.
MICE: Multivariate imputation by chained equations in R
Buuren, S. v. and Groothuis-Oudshoorn, K. (2011) · 2011
Bayesian estimation of discrete multivariate latent structure models with structural zeros
Manrique-Vallier, D. and Reiter, J. P. (2014) · 2014
Later among the works it cites.
Bayesian estimation of disclosure risks in multiply imputed, synthetic data
Reiter, J. P., Wang, Q., and Zhang, B. (2014) · 2014
Later among the works it cites.
Statistical disclosure limitation in the presence of edit rules
Kim, H. J., Karr, A. F., and Reiter, J. P. (2015) · 2015
Later among the works it cites.
Bayesian marked point process modeling for generating fully synthetic public use data with point-referenced geography
Quick, H., Holan, S. H., Wikle, C. K., and Reiter, J. P. (2015) · 2015
Later among the works it cites.
Assessing disclosure risks for synthetic data with arbitrary intruder knowledge
McClure, D. and Reiter, J. P. (2016) · 2016
Later among the works it cites.
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Cited alongside, same era.
Towards unrestricted public use business microdata: The synthetic longitudinal business database
Kinney, S. K., Reiter, J. P., Reznek, A. P., Miranda, J., Jarmin, R. S., and Abowd, J. M. (2011) · 2011
Cited alongside, same era.
Statistical Disclosure Control
Hundepool, A., Domingo-Ferrer, J., Franconi, L., Giessing, S., Nordholt, E. S., Spicer, S., and de Wolf, P. (2012) · 2012
Cited alongside, same era.
Differential privacy and statistical disclosure risk measures: an investigation with binary synthetic data
McClure, D. and Reiter, J. P. (2012) · 2012
Cited alongside, same era.
Discussion: Bayesian perspectives and disclosure risk assessment
Reiter, J. P. (2012) · 2012
Cited alongside, same era.
Statistical disclosure risk: Separating potential and harm
Skinner, C. (2012) · 2012
Cited alongside, same era.
Multiple imputation for sharing precise geographies in public use data
Wang, H. and Reiter, J. P. (2012) · 2012
Cited alongside, same era.
Wei, L. and Reiter, J. P. (2016) · 2016
Later among the works it cites.
Bayesian simultaneous edit and imputation for household data with structural zeros
Akande, O., Barrientos, A. F., and Reiter, J. P. (2018+a) · 2018
Closest in time.
Multiple imputation of missing values in household data with structural zeros
Akande, O., Reiter, J. P., and Barrientos, A. F. (2018+b) · 2018
Closest in time.
Some clarifications regarding fully synthetic data
Drechsler, J. (2018) · 2018
Closest in time.
Drechsler, J. and Hu, J. (2018+) · 2018
Closest in time.
The Quasi-Multinomial synthesizer for categorical data
Hu, J. and Hoshino, N. (2018) · 2018
Closest in time.
Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data
Hu, J., Reiter, J. P., and Wang, Q. (2018) · 2018
Closest in time.
Hu, J. and Savitsky, T. D. (2018+) · 2018
Closest in time.
Simultaneous edit-imputation and disclosure limitation for business establishment data
Kim, H. J., Reiter, J. P., and Karr, A. F. (2018) · 2018
Closest in time.
Bayesian non-parametric generation of fully synthetic multivariate categorical data in the presence of structural zeros
Manrique-Vallier, D. and Hu, J. (2018) · 2018
Closest in time.
Generating partially synthetic geocoded public use data with decreased disclosure risk using differential smoothing
Quick, H., Holan, S. H., and Wikle, C. K. (2018) · 2018
Closest in time.