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#artificial intelligence Preprint Sep 2026

Subgroup Membership Inference Audits of Differentially Private Synthetic Text

The audit shows that synthetic releases leak subgroup membership and that prior attacks systematically underestimate this leakage, and that DP is effective at the aggregate level: it substantially reduces average leakage at every budget the authors test.

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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