James Bailie

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Performative Learning Theory.
CoRR
Julian Rodemann, Unai Fischer Abaigar, James Bailie, Krikamol Muandet
2026 J jnl
Persuasive Privacy.
CoRR
Joshua J. Bon, James Bailie, Judith Rousseau, Christian P. Robert
2025 J jnl
A Refreshment Stirred, Not Shaken (II): Invariant-Preserving Deployments of Differential Privacy for the US Decennial Census.
CoRR
James Bailie, Ruobin Gong, Xiao-Li Meng
2025 J jnl
A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private?
CoRR
James Bailie, Ruobin Gong, Xiao-Li Meng
2025 J jnl
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data.
CoRR
Julian Rodemann, James Bailie
2025 J jnl
Property Elicitation on Imprecise Probabilities.
CoRR
James Bailie, Rabanus Derr
2025 J jnl
The Five Safes as a Privacy Context.
CoRR
James Bailie, Ruobin Gong
2025 J jnl
Why Data Anonymization Has Not Taken Off.
CoRR
Matthew J. Schneider, James Bailie, Dawn Iacobucci
2024 J jnl
General inferential limits under differential and Pufferfish privacy.
Int. J. Approx. Reason.
James Bailie, Ruobin Gong
2024 J jnl
Mapping Africa Settlements: High Resolution Urban and Rural Map by Deep Learning and Satellite Imagery.
CoRR
Mohammad Kakooei, James Bailie, Albin Söderberg, Albin Becevic, Adel Daoud
2024 J jnl
The Complexities of Differential Privacy for Survey Data.
CoRR
Jörg Drechsler, James Bailie
2023 — conf
Differential privacy: general inferential limits via intervals of measures.
ISIPTA
James Bailie, Ruobin Gong
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski