| General and specific utility measures for synthetic data J Snoke, GM Raab, B Nowok, C Dibben, A Slavkovic Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2018 | 97 | 2018 |
| pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity J Snoke, A Slavković International Conference on Privacy in Statistical Databases, 138-159, 2018 | 30 | 2018 |
| Comparative study of differentially private synthetic data algorithms from the NIST PSCR differential privacy synthetic data challenge CMK Bowen, J Snoke Journal of Privacy and Confidentiality 11 (1), 2021 | 20* | 2021 |
| synthpop: Generating synthetic versions of sensitive microdata for statistical disclosure control B Nowok, GM Raab, J Snoke, C Dibben R package version, 1.3-0, 2016 | 11 | 2016 |
| American Instructional Resources Surveys S Doan, PAZ FERNANDEZ, D GRANT, JH Kaufman, CM SETODJI, ... | 10 | 2020 |
| COVID-19 and the State of K-12 Schools: Results and Technical Documentation from the Fall 2020 American Educator Panels COVID-19 Surveys. Research Report. RR-A168-5. JH Kaufman, M Diliberti, GP Hunter, D Grant, LS Hamilton, HL Schwartz, ... RAND Corporation, 2020 | 10 | 2020 |
| Providing accurate models across private partitioned data: Secure maximum likelihood estimation J Snoke, TR Brick, A Slavković, MD Hunter Annals of Applied Statistics 12 (2), 877-914, 2018 | 10 | 2018 |
| Using Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users AG Ororbia II, F Linder, J Snoke arXiv preprint arXiv:1606.01151, 2017 | 8* | 2017 |
| How Statisticians Should Grapple with Privacy in a Changing Data Landscape J Snoke, CMK Bowen CHANCE 33 (4), 6-13, 2020 | 5 | 2020 |
| Organizational Characteristics Associated with Risk of Sexual Assault and Sexual Harassment in the US Army M Matthews, AR Morral, TL Schell, M Cefalu, J Snoke, RJ Briggs | 4 | 2021 |
| COVID-19 and the State of K-12 Schools: Results and Technical Documentation from the Spring 2021 American Educator Panels COVID-19 Surveys JH Kaufman, MK Diliberti, GP Hunter, J Snoke, DM Grant, CM Setodji, ... RAND, 2021 | 3 | 2021 |
| Differential Privacy: What Is It? J Snoke, CMK Bowen AMSTAT news: the membership magazine of the American Statistical Association …, 2019 | 3 | 2019 |
| Statistical Data Privacy Methods for Increasing Research Opportunities JV Snoke The Pennsylvania State University, 2018 | 2 | 2018 |
| Accurate Estimation of Structural Equation Models with Remote Partitioned Data J Snoke, T Brick, A Slavković International Conference on Privacy in Statistical Databases, 190-209, 2016 | 2 | 2016 |
| Is Today's US Air Force Fit? It Depends on How Fitness is Measured S Robson, M Walsh, M Matthews, CS Sims, J Snoke RAND PROJECT AIR FORCE SANTA MONICA CA, 2022 | 1 | 2022 |
| A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses for Administrative Tax Data AF Barrientos, AR Williams, J Snoke, CMK Bowen arXiv preprint arXiv:2110.12055, 2021 | 1 | 2021 |
| Physical Fitness Standards to Support Readiness and Deployability: An Examination of Department of the Air Force Policies and Culture M Matthews, CS Sims, S Robson, M Walsh, S Rennane, J Snoke RAND PROJECT AIR FORCE SANTA MONICA CA, 2022 | | 2022 |
| Physical Fitness Standards to Support Readiness and Deployability M MATTHEWS, CS SIMS, S ROBSON, M WALSH, S RENNANE, ... | | 2022 |
| US Air Force Enlisted Classification and Reclassification S ROBSON, MC LYTELL, M WALSH, KC HALL, KM KELLER, V KILAMBI, ... | | 2022 |
| Differentially Private Methods for Validation Servers: A Feasibility Study on Administrative Tax Data AF Barrientos, AR Williams, J Snoke, C Bowen Urban Institute, 2021 | | 2021 |
Aleksandra SlavkovicPenn State UniversityAdresse e-mail validée de stat.psu.edu
