Efficient Provably Private Classification with a Tabular Foundation Model
cs.LG, cs.CR
Submitted: 2026-10-07
Updated: 2026-10-07
Code: https://github.com/TrustworthyMLHelsinki/PrivTab
Terminology
Sources
- Debugging Differential Privacy: A Case Study for Privacy Auditing
- Neural Processes
- On Reliability of Membership Inference Vulnerability Evaluation
- TabPFN-3: Technical Report
- On First-Order Meta-Learning Algorithms
- Differentially Private In-Context Learning with Nearest Neighbor Search
- Differential Privacy for Transformer Embeddings of Text with Nonparametric Variational Information Bottleneck
- Layer Normalization
- GLU Variants Improve Transformer
- Gaussian Error Linear Units (GELUs)
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