Prof. Dr. Esfandiar Mohammadi

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
File:	10680684

Johannes Liebenow, Yara Schütt, Tanya Braun, Marcel Gehrke, Florian Thaeter, and Esfandiar Mohammadi,
DPM: Clustering Sensitive Data through Separation, in Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security, CCS 2024 , ACM, 2024.

DOI:	10.48550/arXiv.2307.02969
File:	arXiv.2307.02969

Marcel Gehrke, Johannes Liebenow, Esfandiar Mohammadi, and Tanya Braun,
Lifting in Support of Privacy-Preserving Probabilistic Inference, KI - Künstliche Intelligenz , vol. 38, pp. 225-241, 2024.

DOI:	10.1007/s13218-024-00851-y
File:	s13218-024-00851-y

Johannes Liebenow, Timothy Imort, Yannick Fuchs, Marcel Heisel, Nadja Käding, Jan Rupp, and Esfandiar Mohammadi,
PrivAgE: A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices, KI - Künstliche Intelligenz , vol. 38, pp. 183-188, 2024.

DOI:	10.1007/s13218-023-00823-8
File:	s13218-023-00823-8

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
File:	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
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

David M. Sommer, Lukas Abfalterer, Sheila Zingg, and Esfandiar Mohammadi,
Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms, CoRR , vol. abs/2107.12957, 2021.

File:

2107.12957

Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, and Christian Herzog,
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions, CoRR , vol. abs/2107.09546, 2021.

File:

2107.09546

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, Aritra Dhar, Luka Malisa, Esfandiar Mohammadi, Daniel Ronzani, and Srdjan Capkun,
Deniable Upload and Download via Passive Participation, in 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19) , Boston, MA: USENIX Association, Feb.2019. pp. 649--666.

ISBN:	978-1-931971-49-2
File:	sommer

Damien Desfontaines, Elisabeth Krahmer, and Esfandiar Mohammadi,
Passive and active attackers in noiseless privacy, CoRR , vol. abs/1905.00650, 2019.

File:

1905.00650

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, Robert Künnemann, and Esfandiar Mohammadi,
Computational Soundness of Dalvik Bytecode, in Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS) , ACM, 2016.

Michael Backes, Esfandiar Mohammadi, and Tim Ruffing,
Computational Soundness for Interactive Primitives, in Proc.\ 20th European Symposium on Research in Computer Security (ESORICS) , Springer, 2015. pp. 125--145.

Michael Backes, Fabian Bendun, Matteo Maffei, Esfandiar Mohammadi, and Kim Pecina,
Symbolic Malleable Zero-knowledge Proofs, in Proceedings of the 28th IEEE Computer Security Foundations Symposium (CSF) , IEEE, 2015. pp. 412--426.

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.

Michael Backes, Esfandiar Mohammadi, and Tim Ruffing,
Computational Soundness Results for ProVerif, in Proceedings of the 3rd Conference on Principles of Security and Trust (POST) , Springer, 2014. pp. 42--62.

Michael Backes, Praveen Manoharan, and Esfandiar Mohammadi,
TUC: Time-sensitive and Modular Analysis of Anonymous Communication, in Proceedings of the 27th IEEE Computer Security Foundations Symposium (CSF) , IEEE, 2014. pp. 383--397.

Kim Pecina, Esfandiar Mohammadi, and Christina Pöpper,
Zero-Communication Seed Establishment for Anti-Jamming Techniques, in Proceedings of the NDSS Workshop on Security of Emerging Networking Technologies (SENT) , Internet Society, 2014.

Michael Backes, Aniket Kate, and Esfandiar Mohammadi,
Ace: An Efficient Key-Exchange Protocol for Onion Routing, in Proceedings of the 11th ACM Workshop on Privacy in the Electronic Society (WPES) , ACM, 2013. pp. 55--64.

Michael Backes, Dario Fiore, and Esfandiar Mohammadi,
Privacy-Preserving Accountable Computation, in Proceedings of the 18th European Symposium on Research in Computer Security (ESORICS) , Springer, 2013. pp. 38--56.