Jerome P. Reiter

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 13

Top Topics

Contingency Tables

Differentially Private

Bayesian Modeling

Top Venues

J. Priv. Confidentiality

Trans. Data Priv.

Publications

Olivier Binette, Jerome P. Reiter
ER-Evaluation: End-to-End Evaluation of Entity Resolution Systems. J. Open Source Softw. 8 (92) (2023)
Ron S. Jarmin, John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Nathan Goldschlag, Michael B. Hawes, Sallie Ann Keller, Daniel Kifer, Philip Leclerc, Jerome P. Reiter, Rolando A. Rodríguez, Ian M. Schmutte, Victoria A. Velkoff, Pavel Zhuravlev
An In-Depth Examination of Requirements for Disclosure Risk Assessment. CoRR (2023)
Jerome P. Reiter
Synthetic Data: A Look Back and A Look Forward. Trans. Data Priv. 16 (1) (2023)
Zeki Kazan, Jerome P. Reiter
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy. CoRR (2023)
Michelle Nixon, Andrés F. Barrientos, Jerome P. Reiter, Aleksandra Slavkovic
A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. J. Priv. Confidentiality 12 (1) (2022)
Ziang Wang, Jerome P. Reiter
Post-processing Differentially Private Counts to Satisfy Additive Constraints. Trans. Data Priv. 14 (2) (2021)
Jiurui Tang, Jerome P. Reiter, Rebecca C. Steorts
Bayesian Modeling for Simultaneous Regression and Record Linkage. PSD (2020)
Gilad Amitai, Jerome P. Reiter
Differentially private posterior summaries for linear regression coefficients. J. Priv. Confidentiality 8 (1) (2018)
Jerome P. Reiter
Reminiscences of Steve Fienberg. J. Priv. Confidentiality 8 (1) (2018)
Yan Chen, Andrés F. Barrientos, Ashwin Machanavajjhala, Jerome P. Reiter
Is my model any good: differentially private regression diagnostics. Knowl. Inf. Syst. 54 (1) (2018)
Haoyang Yu, Jerome P. Reiter
Differentially Private Verification of Regression Predictions from Synthetic Data. Trans. Data Priv. 11 (3) (2018)
John M. Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, Jerome P. Reiter
Privacy-Preserving Data Analysis for the Federal Statistical Agencies. CoRR (2017)
Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos
Differentially Private Regression Diagnostics. ICDM (2016)
Jerome P. Reiter, Quanli Wang, Biyuan Zhang
Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data. J. Priv. Confidentiality 6 (1) (2014)
Jingchen Hu, Jerome P. Reiter, Quanli Wang
Disclosure Risk Evaluation for Fully Synthetic Categorical Data. Privacy in Statistical Databases (2014)
Joyee Ghosh, Jerome P. Reiter
Secure Bayesian model averaging for horizontally partitioned data. Stat. Comput. 23 (3) (2013)
Ashwin Machanavajjhala, Jerome P. Reiter
Big privacy: protecting confidentiality in big data. XRDS 19 (1) (2012)
David McClure, Jerome P. Reiter
Differential Privacy and Statistical Disclosure Risk Measures: An Investigation with Binary Synthetic Data. Trans. Data Priv. 5 (3) (2012)
David R. McClure, Jerome P. Reiter
Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets. J. Priv. Confidentiality 4 (1) (2012)
Satkartar K. Kinney, Jerome P. Reiter, James O. Berger
Model Selection when multiple imputation is used to protect confidentiality in public use data. J. Priv. Confidentiality 2 (2) (2011)
Jerome P. Reiter
Comment on Article by Gates. J. Priv. Confidentiality 3 (2) (2011)
Jörg Drechsler, Jerome P. Reiter
An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets. Comput. Stat. Data Anal. 55 (12) (2011)
Gregory Caiola, Jerome P. Reiter
Random Forests for Generating Partially Synthetic, Categorical Data. Trans. Data Priv. 3 (1) (2010)
Jerome P. Reiter
Multiple Imputation for Disclosure Limitation: Future Research Challenges. J. Priv. Confidentiality 1 (2) (2010)
Jerome P. Reiter, Robin Mitra
Estimating Risks of Identification Disclosure in Partially Synthetic Data. J. Priv. Confidentiality 1 (1) (2009)
Jerome P. Reiter, Anna Oganian, Alan F. Karr
Verification servers: Enabling analysts to assess the quality of inferences from public use data. Comput. Stat. Data Anal. 53 (4) (2009)
Mi-Ja Woo, Jerome P. Reiter, Anna Oganian, Alan F. Karr
Global Measures of Data Utility for Microdata Masked for Disclosure Limitation. J. Priv. Confidentiality 1 (1) (2009)
Jörg Drechsler, Jerome P. Reiter
Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data. Privacy in Statistical Databases (2008)
Joyee Ghosh, Jerome P. Reiter, Alan F. Karr
Secure computation with horizontally partitioned data using adaptive regression splines. Comput. Stat. Data Anal. 51 (12) (2007)
Alan F. Karr, William J. Fulp, Francisco Vera, S. Stanley Young, Xiaodong Lin, Jerome P. Reiter
Secure, Privacy-Preserving Analysis of Distributed Databases. Technometrics 49 (3) (2007)
Robin Mitra, Jerome P. Reiter
Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data. Privacy in Statistical Databases (2006)
Alan F. Karr, Jun Feng, Xiaodong Lin, Ashish P. Sanil, S. Stanley Young, Jerome P. Reiter
Secure analysis of distributed chemical databases without data integration. J. Comput. Aided Mol. Des. 19 (9-10) (2005)
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter
Privacy preserving regression modelling via distributed computation. KDD (2004)
Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerome P. Reiter
Regression on Distributed Databases via Secure Multi-Party Computation. DG.O (2004)
Jerome P. Reiter
Model Diagnostics for Remote Access Regression Servers. Stat. Comput. 13 (4) (2003)
Jerome P. Reiter
Using Statistics to Determine Causal Relationships. Am. Math. Mon. 107 (1) (2000)