Banded Square Root Matrix Factorization for Differentially Private Model Training. - Nikita P. Kalinin; Christoph H. Lampert (NeurIPS, 2024)

DP-KAN: Differentially Private Kolmogorov-Arnold Networks. - Nikita P. Kalinin; Simone Bombari; Hossein Zakerinia; Christoph H. Lampert (CoRR, 2024)

Notes on Sampled Gaussian Mechanism. - Nikita P. Kalinin (CoRR, 2024)

Continual Release Moment Estimation with Differential Privacy. - Nikita P. Kalinin; Jalaj Upadhyay; Christoph H. Lampert (CoRR, 2025)

Binned Group Algebra Factorization for Differentially Private Continual Counting. - Monika Henzinger; Nikita P. Kalinin; Jalaj Upadhyay (CoRR, 2025)

Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD. - Nikita P. Kalinin; Ryan McKenna; Jalaj Upadhyay; Christoph H. Lampert (CoRR, 2025)