| Perceived risk, political polarization, and the willingness to follow COVID-19 mitigation guidelines R Block Jr, M Burnham, K Kahn, R Peng, J Seeman, C Seto Social Science & Medicine 305, 115091, 2022 | 24 | 2022 |
| Statistical data privacy: a song of privacy and utility A Slavković, J Seeman Annual Review of Statistics and Its Application 10, 189-218, 2023 | 18 | 2023 |
| Exact privacy guarantees for markov chain implementations of the exponential mechanism with artificial atoms J Seeman, M Reimherr, A Slavković Advances in Neural Information Processing Systems 34, 13125-13136, 2021 | 13 | 2021 |
| Private posterior inference consistent with public information: A case study in small area estimation from synthetic census data J Seeman, A Slavkovic, M Reimherr Privacy in Statistical Databases: UNESCO Chair in Data Privacy …, 2020 | 13 | 2020 |
| Between Privacy and Utility: On Differential Privacy in Theory and Practice J Seeman, D Susser ACM Journal on Responsible Computing, 2023 | 10 | 2023 |
| Formal Privacy for Partially Private Data J Seeman, M Reimherr, A Slavkovic arXiv preprint arXiv:2204.01102, 2022 | 7 | 2022 |
| A formal privacy framework for partially private data J Seeman, A Slavkovic, M Reimherr arXiv e-prints, arXiv: 2204.01102, 2022 | 7* | 2022 |
| Framing Effects in the Operationalization of Differential Privacy Systems as Code-Driven Law J Seeman International Conference on Computer Ethics 1 (1), 2023 | 4 | 2023 |
| Active Camera Stabilization from High Altitude Balloons MA Bowman, J Seeman, K Walczak Academic High Altitude Conference 2017 (1), 2017 | 2 | 2017 |
| Differentially Private Population Quantity Estimates via Survey Weight Regularization J Seeman, Y Si, JP Reiter NBER Conference on Data Privacy Protection and the Conduct of Applied …, 2024 | | 2024 |
| Comment on “NIST SP 800-226: Guidelines for Evaluating Differential Privacy Guarantees” R Cummings, S Hod, G Kaptchuk, P Nanayakkara, J Sarathy, J Seeman | | 2024 |
| Privately Answering Queries on Skewed Data via Per Record Differential Privacy J Seeman, W Sexton, D Pujol, A Machanavajjhala arXiv preprint arXiv:2310.12827, 2023 | | 2023 |
| Theoretical and Applied Problems in Partially Private Data J Seeman The Pennsylvania State University, 2023 | | 2023 |
| Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism J Seeman, M Reimherr, A Slavkovic 2022 Virtual Joint Mathematics Meetings (JMM 2022), 2021 | | 2021 |
| A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report Chris Clifton (Purdue University) Bradley Malin (Vanderbilt University Medical Center) A Oganian, R Raskar, V Sharma, W Xia, J Seeman, Z Wan, A Singh | | |
