Author

Debora Jutz

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#machine learning Preprint Aug 2026

Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation

This work proposes a secure multi-party computation framework that enables the training and inference of CellCnn entirely on secret-shared data, and preserves accuracy close to its plaintext counterpart while outperforming the prior privacy-preserving baseline.

S. S. Magara, Esther Havemann, Debora Jutz et al. · 0 citations