Single SMPC Invocation DPHelmet: Differentially Private Distributed Learning on a Large Scale. - Moritz Kirschte; Sebastian Meiser 001; Saman Ardalan; Esfandiar Mohammadi (CoRR, 2022)

S-GBDT: Frugal Differentially Private Gradient Boosting Decision Trees. - Moritz Kirschte; Thorsten Peinemann; Joshua Stock; Carlos Cotrini; Esfandiar Mohammadi (CoRR, 2023)

S-BDT: Distributed Differentially Private Boosted Decision Trees. - Thorsten Peinemann; Moritz Kirschte; Joshua Stock; Carlos Cotrini; Esfandiar Mohammadi (CCS, 2024)

Differentially Private Inductive Miner. - Max Schulze; Yorck Zisgen; Moritz Kirschte; Esfandiar Mohammadi; Agnes Koschmider (ICPM, 2024)

Mixnets on a Tightrope: Quantifying the Leakage of Mix Networks Using a Provably Optimal Heuristic Adversary. - Sebastian Meiser 001; Debajyoti Das 001; Moritz Kirschte; Esfandiar Mohammadi; Aniket Kate (SP, 2025)