Partitioning a Large Simulation as It Runs. - Kary L. Myers; Earl Lawrence; Michael Fugate; Claire McKay Bowen; Lawrence Ticknor; Jon Woodring; Joanne Wendelberger; Jim Ahrens (Technometrics, 2016)

Do Solar Proton Events Reduce the Number of Faults in Supercomputers?: A Comparative Analysis of Faults During and without Solar Proton Events. - Claire McKay Bowen; Nathan DeBardeleben; Sean Blanchard; Christine M. Anderson-Cook (IRPS, 2019)

Comparative Study of Differentially Private Synthetic Data Algorithms and Evaluation Standards. - Claire McKay Bowen; Joshua Snoke (CoRR, 2019)

Differentially Private Generation of Social Networks via Exponential Random Graph Models. - Fang Liu 006; Evercita C. Eugenio; Ick-Hoon Jin; Claire McKay Bowen (COMPSAC, 2020)

A Synthetic Supplemental Public Use File of Low-Income Information Return Data: Methodology, Utility, and Privacy Implications. - Claire McKay Bowen; Victoria Bryant; Leonard Burman; Surachai Khitatrakun; Robert McClelland; Philip Stallworth; Kyle Ueyama; Aaron R. Williams (PSD, 2020)

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge. - Claire McKay Bowen; Joshua Snoke (J. Priv. Confidentiality, 2021)

Synthetic Individual Income Tax Data: Methodology, Utility, and Privacy Implications. - 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; et al. (PSD, 2022)

But Can You Use It? Design Recommendations for Differentially Private Interactive Systems. - Liudas Panavas; Joshua Snoke; Erika Tyagi; Claire McKay Bowen; Aaron R. Williams (CoRR, 2024)

Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy. - Joshua Snoke; Claire McKay Bowen; Aaron R. Williams; Andrés F. Barrientos (J. Priv. Confidentiality, 2024)