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2020 – today
- 2024
[j3]Joshua Snoke
, Claire McKay Bowen, Aaron R. Williams, Andrés F. Barrientos:
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy. J. Priv. Confidentiality 14(3) (2024)- 2023
- [i2]Joshua Snoke, Claire McKay Bowen, Aaron R. Williams, Andrés F. Barrientos:
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy. CoRR abs/2309.16703 (2023) - 2022
- [c4]Claire McKay Bowen, Victoria Bryant, Leonard Burman, John Czajka, Surachai Khitatrakun, Graham MacDonald, Robert McClelland, Livia Mucciolo, Madeline Pickens, Kyle Ueyama, Aaron R. Williams, Doug Wissoker, Noah Zwiefel:
Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications. PSD 2022: 191-204 - 2021
- [j2]Claire McKay Bowen, Joshua Snoke:
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge. J. Priv. Confidentiality 11(1) (2021) - 2020
- [c3]Fang Liu, Evercita C. Eugenio, Ick-Hoon Jin, Claire McKay Bowen:
Differentially Private Generation of Social Networks via Exponential Random Graph Models. COMPSAC 2020: 1695-1700 - [c2]Claire McKay Bowen, Victoria Bryant, Leonard Burman, Surachai Khitatrakun, Robert McClelland, Philip Stallworth, Kyle Ueyama, Aaron R. Williams:
A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications. PSD 2020: 257-270
2010 – 2019
- 2019
- [c1]Claire McKay Bowen, Nathan DeBardeleben, Sean Blanchard, Christine M. Anderson-Cook:
Do Solar Proton Events Reduce the Number of Faults in Supercomputers?: A Comparative Analysis of Faults During and without Solar Proton Events. IRPS 2019: 1-5 - [i1]Claire McKay Bowen, Joshua Snoke:
Comparative Study of Differentially Private Synthetic Data Algorithms and Evaluation Standards. CoRR abs/1911.12704 (2019) - 2016
- [j1]Kary L. Myers, Earl Lawrence, Michael Fugate, Claire McKay Bowen, Lawrence Ticknor, Jon Woodring, Joanne Wendelberger, Jim Ahrens:
Partitioning a Large Simulation as It Runs. Technometrics 58(3): 329-340 (2016)
Coauthor Index
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