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Synthetische Daten : Innovationspotential und gesellschaftliche Herausforderungen

, и . Impuls, Stiftung Neue Verantwortung, Berlin, (мая 2018)

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Biases in multilevel analyses caused by cluster-specific fixed-effects imputation, , и . Behavior Research Methods, (августа 2017)Some Clarifications Regarding Fully Synthetic Data.. PSD, том 11126 из Lecture Notes in Computer Science, стр. 109-121. Springer, (2018)Secure Matrix Computation: A Viable Alternative to Record Linkage?, и . PSD, том 12276 из Lecture Notes in Computer Science, стр. 240-254. Springer, (2020)The Complexities of Differential Privacy for Survey Data., и . CoRR, (2024)Generating Synthetic Data is Complicated: Know Your Data and Know Your Generator., , и . PSD, том 14915 из Lecture Notes in Computer Science, стр. 115-128. Springer, (2024)Challenges in Measuring Utility for Fully Synthetic Data.. PSD, том 13463 из Lecture Notes in Computer Science, стр. 220-233. Springer, (2022)Generating Useful Test Data for Complex Linked Employer-Employee Datasets., , и . Privacy in Statistical Databases, том 7556 из Lecture Notes in Computer Science, стр. 165-178. Springer, (2012)Synthetische Daten : Innovationspotential und gesellschaftliche Herausforderungen, и . Impuls, Stiftung Neue Verantwortung, Berlin, (мая 2018)Remote Data Access and the Risk of Disclosure from Linear Regression: An Empirical Study., , и . Privacy in Statistical Databases, том 6344 из Lecture Notes in Computer Science, стр. 220-233. Springer, (2010)Non-parametric Differentially Private Confidence Intervals for the Median., , , , и . CoRR, (2021)