Jerome P. Reiter

48 papers A* 3C 4Journal 39Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Changes to the Journal of Privacy and Confidentiality. J. Priv. Confidentiality John M. Abowd, Cynthia Dwork, Alan F. Karr, Jerome P. Reiter, Aleksandra B. Slavkovic
2025	J	`jnl`	Differentially Private Verification of Survey-Weighted Estimates. Trans. Data Priv. Tong Lin, Jerome P. Reiter
2025	J	`jnl`	Differentially private estimation of weighted average treatment effects for binary outcomes. Comput. Stat. Data Anal. Sharmistha Guha, Jerome P. Reiter
2025	J	`jnl`	Optimal F-score Matching for Bipartite Record Linkage. Stat. Comput. Eric A. Bai, Olivier Binette, Jerome P. Reiter
2024	J	`jnl`	Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression. CoRR Zeki Kazan, Jerome P. Reiter
2024	J	`jnl`	Differentially Private Finite Population Estimation via Survey Weight Regularization. CoRR Jeremy Seeman, Yajuan Si, Jerome P. Reiter
2024	J	`jnl`	Differentially Private Verification of Survey-Weighted Estimates. CoRR Tong Lin, Jerome P. Reiter
2024	J	`jnl`	How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name Disambiguation. CoRR Olivier Binette, Youngsoo Baek, Siddharth Engineer, Christina Jones, Abel Dasylva, Jerome P. Reiter
2024	J	`jnl`	Improving the Validity and Practical Usefulness of AI/ML Evaluations Using an Estimands Framework. CoRR Olivier Binette, Jerome P. Reiter
2024	J	`jnl`	Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. J. Priv. Confidentiality John M. Abowd, Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber
2024	A*	`conf`	Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy. NeurIPS Zeki Kazan, Jerome P. Reiter
2023	J	`jnl`	An In-Depth Examination of Requirements for Disclosure Risk Assessment. CoRR 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
2023	J	`jnl`	ER-Evaluation: End-to-End Evaluation of Entity Resolution Systems. J. Open Source Softw. Olivier Binette, Jerome P. Reiter
2023	J	`jnl`	Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy. CoRR Zeki Kazan, Jerome P. Reiter
2023	J	`jnl`	Synthetic Data: A Look Back and A Look Forward. Trans. Data Priv. Jerome P. Reiter
2022	J	`jnl`	A Latent Class Modeling Approach for Differentially Private Synthetic Data for Contingency Tables. J. Priv. Confidentiality Michelle Nixon, Andrés F. Barrientos, Jerome P. Reiter, Aleksandra B. Slavkovic
2021	J	`jnl`	Post-processing Differentially Private Counts to Satisfy Additive Constraints. Trans. Data Priv. Ziang Wang, Jerome P. Reiter
2020	C	`conf`	Bayesian Modeling for Simultaneous Regression and Record Linkage. PSD Jiurui Tang, Jerome P. Reiter, Rebecca C. Steorts
2018	J	`jnl`	Differentially Private Verification of Regression Predictions from Synthetic Data. Trans. Data Priv. Haoyang Yu, Jerome P. Reiter
2018	J	`jnl`	Differentially private posterior summaries for linear regression coefficients. J. Priv. Confidentiality Gilad Amitai, Jerome P. Reiter
2018	J	`jnl`	Is my model any good: differentially private regression diagnostics. Knowl. Inf. Syst. Yan Chen, Andrés F. Barrientos, Ashwin Machanavajjhala, Jerome P. Reiter
2018	J	`jnl`	Reminiscences of Steve Fienberg. J. Priv. Confidentiality Jerome P. Reiter
2017	J	`jnl`	Privacy-Preserving Data Analysis for the Federal Statistical Agencies. CoRR John M. Abowd, Lorenzo Alvisi, Cynthia Dwork, Sampath Kannan, Ashwin Machanavajjhala, Jerome P. Reiter
2016	A*	`conf`	Differentially Private Regression Diagnostics. ICDM Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrés F. Barrientos
2014	J	`jnl`	Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data. J. Priv. Confidentiality Jerome P. Reiter, Quanli Wang, Biyuan Zhang
2014	C	`conf`	Disclosure Risk Evaluation for Fully Synthetic Categorical Data. Privacy in Statistical Databases Jingchen Hu, Jerome P. Reiter, Quanli Wang
2013	J	`jnl`	Secure Bayesian model averaging for horizontally partitioned data. Stat. Comput. Joyee Ghosh, Jerome P. Reiter
2012	J	`jnl`	Big privacy: protecting confidentiality in big data. XRDS Ashwin Machanavajjhala, Jerome P. Reiter
2012	J	`jnl`	Differential Privacy and Statistical Disclosure Risk Measures: An Investigation with Binary Synthetic Data. Trans. Data Priv. David McClure, Jerome P. Reiter
2012	J	`jnl`	Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets. J. Priv. Confidentiality David McClure, Jerome P. Reiter
2011	J	`jnl`	An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets. Comput. Stat. Data Anal. Jörg Drechsler, Jerome P. Reiter
2011	J	`jnl`	Comment on Article by Gates. J. Priv. Confidentiality Jerome P. Reiter
2011	J	`jnl`	Model Selection when multiple imputation is used to protect confidentiality in public use data. J. Priv. Confidentiality Satkartar K. Kinney, Jerome P. Reiter, James O. Berger
2011	—	`ch.`	Statistical Approaches to Protecting Confidentiality in Public Use Data. International Encyclopedia of Statistical Science Jerome P. Reiter
2010	J	`jnl`	Multiple Imputation for Disclosure Limitation: Future Research Challenges. J. Priv. Confidentiality Jerome P. Reiter
2010	J	`jnl`	Random Forests for Generating Partially Synthetic, Categorical Data. Trans. Data Priv. Gregory Caiola, Jerome P. Reiter
2009	J	`jnl`	Estimating Risks of Identification Disclosure in Partially Synthetic Data. J. Priv. Confidentiality Jerome P. Reiter, Robin Mitra
2009	J	`jnl`	Global Measures of Data Utility for Microdata Masked for Disclosure Limitation. J. Priv. Confidentiality Mi-Ja Woo, Jerome P. Reiter, Anna Oganian, Alan F. Karr
2009	J	`jnl`	Verification servers: Enabling analysts to assess the quality of inferences from public use data. Comput. Stat. Data Anal. Jerome P. Reiter, Anna Oganian, Alan F. Karr
2008	C	`conf`	Accounting for Intruder Uncertainty Due to Sampling When Estimating Identification Disclosure Risks in Partially Synthetic Data. Privacy in Statistical Databases Jörg Drechsler, Jerome P. Reiter
2007	J	`jnl`	Secure computation with horizontally partitioned data using adaptive regression splines. Comput. Stat. Data Anal. Joyee Ghosh, Jerome P. Reiter, Alan F. Karr
2007	J	`jnl`	Secure, Privacy-Preserving Analysis of Distributed Databases. Technometrics Alan F. Karr, William J. Fulp, Francisco Vera, S. Stanley Young, Xiaodong Lin, Jerome P. Reiter
2006	C	`conf`	Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data. Privacy in Statistical Databases Robin Mitra, Jerome P. Reiter
2005	J	`jnl`	Secure analysis of distributed chemical databases without data integration. J. Comput. Aided Mol. Des. Alan F. Karr, Jun Feng, Xiaodong Lin, Ashish P. Sanil, S. Stanley Young, Jerome P. Reiter
2004	A*	`conf`	Privacy preserving regression modelling via distributed computation. KDD Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerome P. Reiter
2004	—	`conf`	Regression on Distributed Databases via Secure Multi-Party Computation. DG.O Alan F. Karr, Xiaodong Lin, Ashish P. Sanil, Jerome P. Reiter
2003	J	`jnl`	Model Diagnostics for Remote Access Regression Servers. Stat. Comput. Jerome P. Reiter
2000	J	`jnl`	Using Statistics to Determine Causal Relationships. Am. Math. Mon. Jerome P. Reiter