Prof. Dr. Esfandiar Mohammadi
Details: mohammadi.eu
Ratzeburger Allee 160
23562 Lübeck
Gebäude 64, 1. OG,
Raum 104
Email: | esfandiar.mohammadi(at)uni-luebeck.de |
Phone: | +49 451 3101 6609 |
Fax: | +49 451 3101 6604 |
Publikationen
2024
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.
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 |
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.
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 |
Datei: | 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.
Lifting in Support of Privacy-Preserving Probabilistic Inference, KI - Künstliche Intelligenz , vol. 38, pp. 225-241, 2024.
DOI: | 10.1007/s13218-024-00851-y |
Datei: | 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.
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 |
Datei: | 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.
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 |
2022
Moritz
Kirschte,
Sebastian
Meiser,
Saman
Ardalan, and
Esfandiar
Mohammadi,
Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers, arXiv , Nov. 2022.
Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers, arXiv , Nov. 2022.
DOI: | 10.48550/arXiv.2211.02003 |
Datei: | 2211.02003 |
2021
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.
Divide and Funnel: a Scaling Technique for Mix-Networks, IACR Cryptol. ePrint Arch. , pp. 1685, 2021.
Datei: | 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.
Learning Numeric Optimal Differentially Private Truncated Additive Mechanisms, CoRR , vol. abs/2107.12957, 2021.
Datei: | 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.
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Technical Challenges and Solutions, CoRR , vol. abs/2107.09546, 2021.
Datei: | 2107.09546 |
2020
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.
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 |
2019
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, 2019. pp. 649--666.
Deniable Upload and Download via Passive Participation, in 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19) , Boston, MA: USENIX Association, 2019. pp. 649--666.
ISBN: | 978-1-931971-49-2 |
Datei: | sommer |
Damien
Desfontaines,
Elisabeth
Krahmer, and
Esfandiar
Mohammadi,
Passive and active attackers in noiseless privacy, CoRR , vol. abs/1905.00650, 2019.
Passive and active attackers in noiseless privacy, CoRR , vol. abs/1905.00650, 2019.
Datei: | 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.
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 |
2018
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.
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.
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.
2017
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.
AnoA: A Framework for Analyzing Anonymous Communication Protocols, Journal of Privacy and Confidentiality , vol. 7, no. 2:5, pp. 163--178, 2017. IEEE.
2016
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.
Computational Soundness of Dalvik Bytecode, in Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS) , ACM, 2016.
2015
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.
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.
Symbolic Malleable Zero-knowledge Proofs, in Proceedings of the 28th IEEE Computer Security Foundations Symposium (CSF) , IEEE, 2015. pp. 412--426.
2014
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.
(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.
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.
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.
Zero-Communication Seed Establishment for Anti-Jamming Techniques, in Proceedings of the NDSS Workshop on Security of Emerging Networking Technologies (SENT) , Internet Society, 2014.
2013
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.
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.
Privacy-Preserving Accountable Computation, in Proceedings of the 18th European Symposium on Research in Computer Security (ESORICS) , Springer, 2013. pp. 38--56.
- Mitarbeiter*innen
- Thomas Eisenbarth
- Esfandiar Mohammadi
- Paula Arnold
- Jeremy Boy
- Finn Burmester
- Till Eifert
- Tim Gellersen
- Jonah Heller
- Kristoffer Hempel
- Timothy Imort
- Moritz Kirschte
- Marven Kummerfeldt
- Johannes Liebenow
- Nils Loose
- Felix Mächtle
- Felix Maurer
- Sebastian Meiser
- Anna Pätschke
- Pajam Pauls
- Thorsten Peinemann
- Christopher Peredy
- Tammo Polle
- Yannik Potdevin
- Claudius Pott
- Anja Rabich
- Jonas Sander
- Ines Schiebahn
- Yara Schütt
- Jan-Niclas Serr
- Florian Sieck
- Annika Strang
- Thore Tiemann
- Alexander Treff
- Jan Wichelmann
- Luca Wilke