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Differential Privacy and Statistical Disclosure Risk Measures: An Investigation with Binary Synthetic Data.

, and . Trans. Data Priv., 5 (3): 535-552 (2012)

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Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets., and . J. Priv. Confidentiality, (2012)A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables., , , and . J. Priv. Confidentiality, (2022)Bayesian Modeling for Simultaneous Regression and Record Linkage., , and . PSD, volume 12276 of Lecture Notes in Computer Science, page 209-223. Springer, (2020)Random Forests for Generating Partially Synthetic, Categorical Data., and . Trans. Data Priv., 3 (1): 27-42 (2010)Differential Privacy and Statistical Disclosure Risk Measures: An Investigation with Binary Synthetic Data., and . Trans. Data Priv., 5 (3): 535-552 (2012)Post-processing Differentially Private Counts to Satisfy Additive Constraints., and . Trans. Data Priv., 14 (2): 65-77 (2021)Secure analysis of distributed chemical databases without data integration., , , , , and . J. Comput. Aided Mol. Des., 19 (9-10): 739-747 (2005)Regression on Distributed Databases via Secure Multi-Party Computation., , , and . DG.O, Digital Government Research Center, (2004)Privacy-Preserving Data Analysis for the Federal Statistical Agencies., , , , , and . CoRR, (2017)Secure, Privacy-Preserving Analysis of Distributed Databases., , , , , and . Technometrics, 49 (3): 335-345 (2007)