Scholar
Esfandiar Mohammadi
Google Scholar ID: O9Z2mN8AAAAJ
Universität zu Lübeck
Citations & Impact
Citations
563
H-index
12
i10-index
12
Publications
20
Co-authors
39
list available
Publications
Resume (English only)
Academic Achievements
- - IEEE S&P 2025 paper: 'Mixnets on a tightrope: Quantifying the leakage of mix networks using a provably optimal heuristic adversary'
- - ICPM 2024 paper: 'Differentially Private Inductive Miner'
- - CCS 2024 paper: 'S-BDT: Frugal Differentially Private Gradient Boosting Decision Trees'
- - CCS 2024 paper: 'DPM: Clustering Sensitive Data through Separation'
- - CSF 2024 paper: 'Divide and Funnel: a Scaling Technique for Mix-Networks'
- - VeDS project, funded by the state of Schleswig-Holstein, working on a trustworthy electricity marketplace and privacy-preserving distributed energy consumption prediction
Research Experience
- - Tenured W2 (associate) professor at University of Lübeck since 2019
- - Worked as a postdoctoral ZISC fellow at ETH Zürich from 2016 to 2019
- - Head of the Privacy & Security (PrivSec) group at the Institute for IT-Security, University of Lübeck
- - Director of the AnoMed competence cluster
Education
- - Ph.D., Saarland University, Supervisor: Michael Backes, 2015
- - Postdoctoral ZISC fellow, ETH Zürich, Host: David Basin, 2016-2019
Background
- - Privacy & security in machine learning
- - Differential privacy
- - Anonymous communication
- - Formal verification methods and their computational soundness
Miscellany
- - Delighted to work with a group of talented people
- - Scientific service: Program committee member for multiple conferences including ACM Conference on Computer and Communications Security (CCS), IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), USENIX Security Symposium, and more
