Differential privacy: general inferential limits via intervals of measures. - James Bailie; Ruobin Gong (ISIPTA, 2023)

The Complexities of Differential Privacy for Survey Data. - Jörg Drechsler; James Bailie (CoRR, 2024)

Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery. - Mohammad Kakooei; James Bailie; Albin Söderberg; Albin Becevic; Adel Daoud (CoRR, 2024)

General inferential limits under differential and Pufferfish privacy. - James Bailie; Ruobin Gong (Int. J. Approx. Reason., 2024)

A Refreshment Stirred, Not Shaken (II): Invariant-Preserving Deployments of Differential Privacy for the US Decennial Census. - James Bailie; Ruobin Gong; Xiao-Li Meng (CoRR, 2025)

A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private? - James Bailie; Ruobin Gong; Xiao-Li Meng (CoRR, 2025)

Generalization Bounds and Stopping Rules for Learning with Self-Selected Data. - Julian Rodemann; James Bailie (CoRR, 2025)

Property Elicitation on Imprecise Probabilities. - James Bailie; Rabanus Derr (CoRR, 2025)