James Bailie

According to our database, James Bailie authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

The Five Safes as a Privacy Context.

James Bailie, Ruobin Gong

CoRR, October, 2025

Why Data Anonymization Has Not Taken Off.

Matthew J. Schneider, James Bailie, Dawn Iacobucci

CoRR, September, 2025

Property Elicitation on Imprecise Probabilities.

James Bailie, Rabanus Derr

CoRR, July, 2025

Generalization Bounds and Stopping Rules for Learning with Self-Selected Data.

Julian Rodemann, James Bailie

CoRR, May, 2025

A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private?

James Bailie, Ruobin Gong, Xiao-Li Meng

CoRR, April, 2025

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, January, 2025

2024

General inferential limits under differential and Pufferfish privacy.

James Bailie, Ruobin Gong

Int. J. Approx. Reason., 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

The Complexities of Differential Privacy for Survey Data.

Jörg Drechsler, James Bailie

CoRR, 2024

2023

Differential privacy: general inferential limits via intervals of measures.

James Bailie, Ruobin Gong

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023