Author

Sana Tonekaboni

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#machine learning Preprint Sep 2026

LatentVerse: A Framework for Understanding Shared and Modality-Specific Information in Multimodal Latent Representations

LatentVerse is a representation analysis resource that combines a web-based visual analytics platform for accessible, report-driven exploration with a command-line interface for scalable technical workflows that makes foundation model representations more understandable in biomedical and data science applications.

Majd Alafrange, S. Friedman, J. Kitonyo et al. · 0 citations

#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

Preprint Aug 2026

Protecting patient privacy in clinical foundation models: Technical and legal perspectives

This work proposes a practical framework for assessing privacy risk in clinical foundation models and illustrates realistic leakage scenarios across deployment settings, map them to legal regimes, and outline complementary technical and legal mitigations.

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