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Paper at CODASPY 2026!

The paper ‘Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning’, co-authored by SSI, has been accepted for CODASPY 2026!

Paper entitled “Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning”, with SSI involvement, accepted for CODASPY 2026!

M. Damie, F. Hahn, A. Peter, and J. Ramon, “Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning” in Proceedings of the 16th ACM Conference on Data and Application Security and Privacy (CODASPY 2026), 2026.

(Changed: 19 Sep 2026)  |  Kurz-URL:Shortlink: https://uol.de/p87900n14286en
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