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Differential Privacy (DP) formalizes privacy in mathematical terms and provides a robust concept for privacy protection.
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Statistical disclosure techniques based on multiple imputation
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Predicting turnout in a presidential election
H. Malchow · 2004
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Calibrating noise to sensitivity in private data analysis
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A framework for evaluating the utility of data altered to protect confidentiality
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Mechanism design via differential privacy
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Differential privacy: A survey of results
C. Dwork · 2008
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Privacy: Theory meets practice on the map
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Privacy integrated queries: an extensible platform for privacy-preserving data analysis
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Using multiple imputation to integrate and disseminate confidential microdata
J. P. Reiter · 2009
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Global measures of data utility for microdata masked for disclosure limitation
M.-J. Woo, J. P. Reiter, A. Oganian, and A. F. Karr · 2009
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Boosting the accuracy of differentially private histograms through consistency
M. Hay, V. Rastogi, G. Miklau, and D. Suciu · 2010
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Registering the youth through voter preregistration
M. P. McDonald and M. Thornburg · 2010
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Synthetic data for small area estimation
J. W. Sakshaug and T. E. Raghunathan · 2010
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A statistical framework for differential privacy
L. Wasserman and S. Zhou · 2010
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Model-based differentially private data synthesis
F. Liu · 2016
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Partitioning-based mechanisms under personalized differential privacy
H. Li, L. Xiong, Z. Ji, and X. Jiang · 2017
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Datasynthesizer: Privacy-preserving synthetic datasets
H. Ping and J. Stoyanovich · 2017
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Datasynthesizer: Privacy-preserving synthetic datasets
H. Ping, J. Stoyanovich, and B. Howe · 2017
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Privbayes: Private data release via bayesian networks
J. Zhang, G. Cormode, C. M. Procopiuc, D. Srivastava, and X. Xiao · 2017
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Differentially private data release through multidimensional partitioning
Y. Xiao, L. Xiong, and C. Yuan · 2010
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Differentially private data cubes: Optimizing noise sources and consistency
B. Ding, M. Winslett, J. Han, and Z. Li · 2011
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Synthetic datasets for Statistical Disclosure Control
J. Drechsler · 2011
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A simple and practical algorithm for differentially private data release
M. Hardt, K. Ligett, and F. McSherry · 2012
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Dpcube: Releasing differentially private data cubes for health information
Y. Xiao, J. Gardner, and L. Xiong · 2012
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The algorithmic foundations of differential privacy
C. Dwork and A. Roth · 2013
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R. Cummings and D. Durfee · 2018
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Cipher: Construction of differentially private microdata from low-dimensional histograms via solving linear equations with tikhonov regularization
E. C. Eugenio and F. Liu · 2018
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Datasynthesizer
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Voter turnout surging among people with disabilitie, 2019
S. Flamisch · 2019
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An excitingly simple solution to youth turnout, for the primaries and beyond, 2019
C. Hill and J. Grumbach · 2019
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Generalized gaussian mechanism for differential privacy
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Voter turnout surged among people with disabilities last year. activists want to make sure that continues in 2020, 2019
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Comparative study of differentially private data synthesis methods
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Black women voters will be central to the 2020 presidential election, experts predict, 2019
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Guidelines for implementing and auditing differentially private systems
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