Author

Ayin Vala

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#natural language process... Jun 2026

Clinically Grounded Privacy Evaluation of Medical LMs

This work introduces a clinically grounded framework that evaluates leakage along a graded axis of adversarial access, ranging from publicly inferable demographics to leaked note fragments, and provides a practical, reusable framework for contextual privacy evaluation of medical LMs.

Sasha Ronaghi, Sana Tonekaboni, Lena Stempfle et al. · arXiv.org · 0 citations

#machine learning Review Aug 2026

CoMedBench: A Multi-Source Benchmark of Synthetic Medical Data Fidelity and Downstream Utility

CoMedBench is introduced, a reproducible benchmark that evaluates a family of generators under a common clinical-validity framework and one shared training and evaluation engine, spanning static tabular and temporal downstream tasks on established critical-care datasets.

Akanta Das, Farhad Al-Amin Dipto, M. S. Anto et al. · 0 citations