Dr.-Ing. Sebastian Meiser

Moritz Kirschte, Sebastian Meiser, Saman Ardalan, and Esfandiar Mohammadi,
Private Blind Model Averaging – Distributed, Non-interactive, and Convergent, in 2026 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), to appear , Mä.2026.

Datei:

2211.02003

Niklas Zapatka, Moritz Kirschte, Sebastian Meiser, Bud Bruegger, Harald Zwingelberg, and Esfandiar Mohammadi,
Understanding Differential Privacy in Terms of Crowd Size Preservation, in Privacy Technologies and Policy, 14th Annual Privacy Forum (APF) , Cham, CH: Springer Nature Switzerland, Sep.2026. pp. 46-70.

DOI:	10.1007/978-3-032-35899-8_3
ISBN:	978-3-032-35899-8

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.

ISBN:	979-8-3315-2236-0
Datei:	SP61157.2025.00233

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.

Datei:

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
Datei:	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
Datei:	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.