arXiv Machine Learning July 1, 2026 By Dariush Wahdany, Matthew Jagielski, Jesse C. Cresswell, Adam Dziedzic, Franziska Boenisch

TabPATE: Differentially Private Tabular In-Context Learning Without Public Data

Read the original on arXiv Machine Learning →

arXiv:2606. 31474v1 Announce Type: new Abstract: Tabular foundation models enable accurate in-context learning (ICL) from small labeled datasets, but the private records placed in context can leak through model predictions.

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