Jerome P. Reiter

According to our database, Jerome P. Reiter authored at least 42 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality.

John M. Abowd, Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber

J. Priv. Confidentiality, 2024

Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework.

Olivier Binette, Jerome P. Reiter

CoRR, 2024

Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression.

Zeki Kazan, Jerome P. Reiter

CoRR, 2024

How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name Disambiguation.

Olivier Binette, Youngsoo Baek, Siddharth Engineer, Christina Jones, Abel Dasylva, Jerome P. Reiter

CoRR, 2024

Differentially Private Verification of Survey-Weighted Estimates.

Tong Lin, Jerome P. Reiter

CoRR, 2024

2023

ER-Evaluation: End-to-End Evaluation of Entity Resolution Systems.

Olivier Binette, Jerome P. Reiter

J. Open Source Softw., December, 2023

Synthetic Data: A Look Back and A Look Forward.

Jerome P. Reiter

Trans. Data Priv., January, 2023

An In-Depth Examination of Requirements for Disclosure Risk Assessment.

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

CoRR, 2023

Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy.

Zeki Kazan, Jerome P. Reiter

CoRR, 2023

2022

A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables.

Michelle Nixon, Andrés F. Barrientos, Jerome P. Reiter, Aleksandra B. Slavkovic

J. Priv. Confidentiality, 2022

2021

Post-processing Differentially Private Counts to Satisfy Additive Constraints.

Ziang Wang, Jerome P. Reiter

Trans. Data Priv., 2021

2020

Bayesian Modeling for Simultaneous Regression and Record Linkage.

Jiurui Tang, Jerome P. Reiter, Rebecca C. Steorts

Proceedings of the Privacy in Statistical Databases, 2020

2018

Differentially Private Verification of Regression Predictions from Synthetic Data.

Haoyang Yu, Jerome P. Reiter

Trans. Data Priv., 2018

Is my model any good: differentially private regression diagnostics.

Yan Chen, Andrés F. Barrientos, Ashwin Machanavajjhala, Jerome P. Reiter

Knowl. Inf. Syst., 2018

Reminiscences of Steve Fienberg.

Jerome P. Reiter

J. Priv. Confidentiality, 2018

Differentially private posterior summaries for linear regression coefficients.

Gilad Amitai, Jerome P. Reiter

J. Priv. Confidentiality, 2018

2017

Privacy-Preserving Data Analysis for the Federal Statistical Agencies.

John M. Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, Jerome P. Reiter

CoRR, 2017

2016

Differentially Private Regression Diagnostics.

Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014

Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data.

Jerome P. Reiter, Quanli Wang, Biyuan Zhang

J. Priv. Confidentiality, 2014

Disclosure Risk Evaluation for Fully Synthetic Categorical Data.

Jingchen Hu, Jerome P. Reiter, Quanli Wang

Proceedings of the Privacy in Statistical Databases, 2014

2013

Secure Bayesian model averaging for horizontally partitioned data.

Joyee Ghosh, Jerome P. Reiter

Stat. Comput., 2013

2012

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

David McClure, Jerome P. Reiter

Trans. Data Priv., 2012

Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets.

David McClure, Jerome P. Reiter

J. Priv. Confidentiality, 2012

Big privacy: protecting confidentiality in big data.

Ashwin Machanavajjhala, Jerome P. Reiter

XRDS, 2012

2011

Statistical Approaches to Protecting Confidentiality in Public Use Data.

Jerome P. Reiter

Proceedings of the International Encyclopedia of Statistical Science, 2011

Comment on Article by Gates.

Jerome P. Reiter

J. Priv. Confidentiality, 2011

Model Selection when multiple imputation is used to protect confidentiality in public use data.

Satkartar K. Kinney, Jerome P. Reiter, James O. Berger

J. Priv. Confidentiality, 2011

An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets.

Jörg Drechsler, Jerome P. Reiter

Comput. Stat. Data Anal., 2011

2010

Random Forests for Generating Partially Synthetic, Categorical Data.

Gregory Caiola, Jerome P. Reiter

Trans. Data Priv., 2010

Multiple Imputation for Disclosure Limitation: Future Research Challenges.

Jerome P. Reiter

J. Priv. Confidentiality, 2010

2009

Global Measures of Data Utility for Microdata Masked for Disclosure Limitation.

Mi-Ja Woo, Jerome P. Reiter, Anna Oganian, Alan F. Karr

J. Priv. Confidentiality, 2009

Estimating Risks of Identification Disclosure in Partially Synthetic Data.

Jerome P. Reiter, Robin Mitra

J. Priv. Confidentiality, 2009

Verification servers: Enabling analysts to assess the quality of inferences from public use data.

Jerome P. Reiter, Anna Oganian, Alan F. Karr

Comput. Stat. Data Anal., 2009

2008

Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data.

Jörg Drechsler, Jerome P. Reiter

Proceedings of the Privacy in Statistical Databases, 2008

2007

Secure, Privacy-Preserving Analysis of Distributed Databases.

Alan F. Karr, William J. Fulp, Francisco Vera, S. Stanley Young, Xiaodong Lin, Jerome P. Reiter

Technometrics, 2007

Secure computation with horizontally partitioned data using adaptive regression splines.

Joyee Ghosh, Jerome P. Reiter, Alan F. Karr

Comput. Stat. Data Anal., 2007

2006

Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data.

Robin Mitra, Jerome P. Reiter

Proceedings of the Privacy in Statistical Databases, 2006

2005

Secure analysis of distributed chemical databases without data integration.

Alan F. Karr, Jun Feng, Xiaodong Lin, Ashish P. Sanil, S. Stanley Young, Jerome P. Reiter

J. Comput. Aided Mol. Des., 2005

2004

Privacy preserving regression modelling via distributed computation.

Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Regression on Distributed Databases via Secure Multi-Party Computation.

Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerome P. Reiter

Proceedings of the 2004 Annual National Conference on Digital Government Research, 2004

2003

Model Diagnostics for Remote Access Regression Servers.

Jerome P. Reiter

Stat. Comput., 2003

2000

Using Statistics to Determine Causal Relationships.

Jerome P. Reiter

Am. Math. Mon., 2000