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Synthetic Individual Income Tax Data: Promises and Challenges

National tax journal, 2022-12, Vol.75 (4), p.767-790

2022

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Government Data of the People, by the People, for the People: Navigating Citizen Privacy Concerns

The Journal of economic perspectives, 2024-04, Vol.38 (2), p.181-200

McKay Bowen, Claire

2024

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Comparative Study of Differentially Private Data Synthesis Methods

Statistical science, 2020-05, Vol.35 (2), p.280-307

2020

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The Philosophy of Differential Privacy

Notices of the American Mathematical Society, 2021-11, Vol.68 (10), p.1

2021

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The art of data privacy

Significance (Oxford, England), 2022-02, Vol.19 (1), p.14-19

Bowen, Claire McKay

2022

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Advancing microdata privacy protection: A review of synthetic data methods

Wiley interdisciplinary reviews. Computational statistics, 2024-01, Vol.16 (1), p.e1636-n/a

2024

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A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data

Journal of the American Statistical Association, 2024-01, Vol.119 (545), p.52-65

2024

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The Autonomy Gap: Response to Citro et al. and the statistical community

Statistics and public policy (Philadelphia, Pa.), 2023, Vol.10 (1)

Bowen, Claire McKay

2023

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The promise and limitations of formal privacy

Wiley interdisciplinary reviews. Computational statistics, 2023-11, Vol.15 (6), p.e1615

2023

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Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

The journal of privacy and confidentiality, 2021-02, Vol.11 (1)

2021

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Do Solar Proton Events Reduce the Number of Faults in Supercomputers?: A Comparative Analysis of Faults During and without Solar Proton Events

2019 IEEE International Reliability Physics Symposium (IRPS), 2019, p.1-5

2019

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Significant strides: Women’s advancement in endurance sports

Significance (Oxford, England), 2024-06, Vol.21 (3), p.18-21

McKay Bowen, Claire

2024

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Preserving Privacy While Sharing Data

MIT Sloan management review, 2022-06, Vol.63 (4), p.7-10

2022

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Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

The journal of privacy and confidentiality, 2021-02, Vol.11 (1)

2021

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Editorial: Symposium Data Science and Statistics 2022

Journal of data science, 2023-04, p.173-176

2023

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Differentially private data release via statistical election to partition sequentially: Statistical election to partition sequentially

Metron (Rome), 2021, Vol.79 (1), p.1-31

2021

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Differentially Private Synthesis and Sharing of Network Data Via Bayesian Exponential Random Graph Models

Journal of survey statistics and methodology, 2022-06, Vol.10 (3), p.753-784

2022

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Partitioning a Large Simulation as It Runs

Technometrics, 2016-08, Vol.58 (3), p.329-340

2016

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Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications

Privacy in Statistical Databases, p.191-204

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Data Privacy via Integration of Differential Privacy and Data Synthesis

Bowen, Claire McKay

2018

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Are more of my patients developing side effects than expected?

Practical Radiation Oncology, 2015-05, Vol.5 (3), p.e255-e261

2015

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A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications

Privacy in Statistical Databases, p.257-270

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Differentially Private Generation of Social Networks via Exponential Random Graph Models

2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020, Vol.2020, p.1695-1700

2020

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Spotlight on the Government Statistics Section of the American Statistical Association

Chance (New York), 2022-07, Vol.35 (3), p.4-8

2022

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A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data

Journal of the American Statistical Association, 2024, Vol.119 (545), p.52-65

2024

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Synthetic Individual Income Tax Data: Promises and Challenges

Government Data of the People, by the People, for the People: Navigating Citizen Privacy Concerns

Comparative Study of Differentially Private Data Synthesis Methods

The Philosophy of Differential Privacy

The art of data privacy

Advancing microdata privacy protection: A review of synthetic data methods

A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data

The Autonomy Gap: Response to Citro et al. and the statistical community

The promise and limitations of formal privacy

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

Do Solar Proton Events Reduce the Number of Faults in Supercomputers?: A Comparative Analysis of Faults During and without Solar Proton Events

Significant strides: Women’s advancement in endurance sports

Preserving Privacy While Sharing Data

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

Editorial: Symposium Data Science and Statistics 2022

Differentially private data release via statistical election to partition sequentially: Statistical election to partition sequentially

Differentially Private Synthesis and Sharing of Network Data Via Bayesian Exponential Random Graph Models

Partitioning a Large Simulation as It Runs

Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications

Data Privacy via Integration of Differential Privacy and Data Synthesis

Are more of my patients developing side effects than expected?

A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications

Differentially Private Generation of Social Networks via Exponential Random Graph Models

Spotlight on the Government Statistics Section of the American Statistical Association

A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data

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