M. Sc. Moritz Kirschte

Sebastian Meiser, Debajyoti Das, Moritz Kirschte, Esfandiar Mohammadi, and Aniket Kate,
Mixnets on a tightrope: Quantifying the leakage of mix networks using a provably optimal heuristic adversary, in 2025 IEEE Symposium on Security and Privacy (SP) , Los Alamitos, CA, USA: IEEE Computer Society, 2025. pp. 4457-4475.

Datei:

SP61157.2025.00233

Max Schulze, Yorck Zisgen, Moritz Kirschte, Esfandiar Mohammadi, and Agnes Koschmider,
Differentially Private Inductive Miner, in 2024 6th International Conference on Process Mining (ICPM) , Curran Associates, Sep.2024. pp. 89-96.

DOI:	10.1109/ICPM63005.2024.10680684
ISBN:	979-8-3503-6503-0
Datei:	10680684

Thorsten Peinemann, Moritz Kirschte, Joshua Stock, Carlos Cotrini, and Esfandiar Mohammadi,
S-BDT: Distributed Differentially Private Boosted Decision Trees, in Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security (CCS '24) , New York, NY, USA: Association for Computing Machinery, 2024. pp. 288–302.

DOI:	10.1145/3658644.3690301
ISBN:	9798400706363
Datei:	2309.12041

Moritz Kirschte, Sebastian Meiser, Saman Ardalan, and Esfandiar Mohammadi,
Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers, arXiv , Nov. 2022.

DOI:	10.48550/arXiv.2211.02003
Datei:	2211.02003