Moritz Kirschte, Sebastian Meiser, Saman Ardalan, and Esfandiar Mohammadi,
Single SMPC Invocation DPHelmet: Differentially Private Distributed Learning on a Large Scale, arXiv , Nov. 2022.

DOI:	10.48550/arXiv.2211.02003
File:	2211.02003

Debajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, and Aniket Kate,
Divide and Funnel: a Scaling Technique for Mix-Networks, IACR Cryptol. ePrint Arch. , pp. 1685, 2021.

File:

1685

Debajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, and Aniket Kate,
Comprehensive Anonymity Trilemma: User Coordination is not enough, in Proceedings on Privacy Enhancing Technologies (PETS/PoPETS) 2020.3 , Sciendo, 2020.

DOI:	10.2478/popets-2020-0056
File:	article-p356.xml

David Sommer, Sebastian Meiser, and Esfandiar Mohammadi,
Privacy Loss Classes: The Central Limit Theorem in Differential Privacy, Proceedings on Privacy Enhancing Technologies , vol. 2019, no. 2, pp. 245 - 269, 2019. Sciendo.

DOI:	https://doi.org/10.2478/popets-2019-0029
File:	article-p245.xml

Debajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, and Aniket Kate,
Anonymity Trilemma: Strong Anonymity, Low Bandwidth Overhead, Low Latency---Choose Two, in In Proceedings of the 39th IEEE Symposium on Security and Privacy (S\&P) , IEEE, 2018. pp. 170--188.

Sebastian Meiser, and Esfandiar Mohammadi,
Tight on Budget? Tight Bounds for r-Fold Approximate Differential Privacy, in Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS) , ACM, 2018.

Michael Backes, Aniket Kate, Praveen Manoharan, Sebastian Meiser, and Esfandiar Mohammadi,
AnoA: A Framework for Analyzing Anonymous Communication Protocols, Journal of Privacy and Confidentiality , vol. 7, no. 2:5, pp. 163--178, 2017. IEEE.

Michael Backes, Aniket Kate, Sebastian Meiser, and Esfandiar Mohammadi,
(Nothing else) MATor(s): Monitoring the Anonymity of Tor's Path Selection, in Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS) , ACM, 2014. pp. 513--524.