Jerome P. Reiter

Affiliations:
  • Duke University, Durham, USA


According to our database1, Jerome P. Reiter authored at least 32 papers between 2000 and 2021.

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Bibliography

2021
Post-processing Differentially Private Counts to Satisfy Additive Constraints.
Trans. Data Priv., 2021

2020
Bayesian Modeling for Simultaneous Regression and Record Linkage.
Proceedings of the Privacy in Statistical Databases, 2020

2018
Differentially Private Verification of Regression Predictions from Synthetic Data.
Trans. Data Priv., 2018

Is my model any good: differentially private regression diagnostics.
Knowl. Inf. Syst., 2018

Reminiscences of Steve Fienberg.
J. Priv. Confidentiality, 2018

Differentially private posterior summaries for linear regression coefficients.
J. Priv. Confidentiality, 2018

2017
Privacy-Preserving Data Analysis for the Federal Statistical Agencies.
CoRR, 2017

2016
Differentially Private Regression Diagnostics.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014
Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data.
J. Priv. Confidentiality, 2014

Disclosure Risk Evaluation for Fully Synthetic Categorical Data.
Proceedings of the Privacy in Statistical Databases, 2014

2013
Secure Bayesian model averaging for horizontally partitioned data.
Stat. Comput., 2013

2012
Differential Privacy and Statistical Disclosure Risk Measures: An Investigation with Binary Synthetic Data.
Trans. Data Priv., 2012

Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets.
J. Priv. Confidentiality, 2012

Big privacy: protecting confidentiality in big data.
XRDS, 2012

2011
Statistical Approaches to Protecting Confidentiality in Public Use Data.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Comment on Article by Gates.
J. Priv. Confidentiality, 2011

Model Selection when multiple imputation is used to protect confidentiality in public use data.
J. Priv. Confidentiality, 2011

An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets.
Comput. Stat. Data Anal., 2011

2010
Random Forests for Generating Partially Synthetic, Categorical Data.
Trans. Data Priv., 2010

Multiple Imputation for Disclosure Limitation: Future Research Challenges.
J. Priv. Confidentiality, 2010

2009
Global Measures of Data Utility for Microdata Masked for Disclosure Limitation.
J. Priv. Confidentiality, 2009

Estimating Risks of Identification Disclosure in Partially Synthetic Data.
J. Priv. Confidentiality, 2009

Verification servers: Enabling analysts to assess the quality of inferences from public use data.
Comput. Stat. Data Anal., 2009

2008
Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data.
Proceedings of the Privacy in Statistical Databases, 2008

2007
Secure, Privacy-Preserving Analysis of Distributed Databases.
Technometrics, 2007

Secure computation with horizontally partitioned data using adaptive regression splines.
Comput. Stat. Data Anal., 2007

2006
Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data.
Proceedings of the Privacy in Statistical Databases, 2006

2005
Secure analysis of distributed chemical databases without data integration.
J. Comput. Aided Mol. Des., 2005

2004
Privacy preserving regression modelling via distributed computation.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Regression on Distributed Databases via Secure Multi-Party Computation.
Proceedings of the 2004 Annual National Conference on Digital Government Research, 2004

2003
Model Diagnostics for Remote Access Regression Servers.
Stat. Comput., 2003

2000
Using Statistics to Determine Causal Relationships.
Am. Math. Mon., 2000


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