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#artificial intelligence Preprint Sep 2026

Subgroup Membership Inference Audits of Differentially Private Synthetic Text

Synthetic data releases are increasingly proposed in the literature as a means of sharing realistic data replicas in lieu of sensitive private datasets. Even when the worst-case privacy leakage of such releases is bounded by means of differential privacy (DP), in practice a residual risk remains. Membership inference a...

Yi-Dan Sun, Viktor Schlegel, Srinivasan Nandakumar et al. · 0 citations
#natural language process... Preprint Sep 2025

Privacy-Preserving Generation of Clinical Narratives from Medical Terminologies

Compared to existing DP text generation baselines, Term2Note substantially improves both fidelity and utility, without relying on label distribution assumptions, highlighting its effectiveness as a practical privacy-preserving alternative to real clinical notes.

Yuping Wu, Viktor Schlegel, Warren Del-Pinto et al. · 2 citations

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