SuperDP: Differential privacy refutation via supermartingales
K. Chatterjee, E. Goharshady, D. Zikelic, Proceedings of the ACM on Programming Languages 10 (2026).

Learning rate scheduling with matrix factorization for private training
N. Kalinin, J.D. Andersson, in:, 7th Symposium on Foundations of Responsible Computing, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2026.

Concurrent composition for differentially private continual mechanisms
M. Henzinger, R. Safavi Hemami, S. Vadhan, Proceedings of the ACM on Management of Data 4 (2026) 1–26.