Scholar
Stephen Meisenbacher
Google Scholar ID: B6Ggz5wAAAAJ
Research Associate and PhD Candidate, Technical University of Munich
Privacy-Preserving NLP
Private NLP
Privacy-Enhancing Technologies
Data Privacy
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Citations & Impact
All-time
Citations
193
H-index
7
i10-index
5
Publications
20
Co-authors
10
list available
Contact
No contact links provided.
Publications
16 items
Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings
2026
Cited
0
A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
2026
Cited
0
A Case Study on the Impact of Anonymization Along the RAG Pipeline
2026
Cited
0
Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
2026
Cited
0
SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems
arXiv.org · 2026
Cited
0
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
2025
Cited
0
Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
2025
Cited
0
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
2025
Cited
0
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Resume (English only)
Co-authors
10 total
Florian Matthes
Professor of Computer Science, Technische Universität München
Alexandra Klymenko
Research Associate, Technical University of Munich
Juraj Vladika
PhD Student of Computer Science, Technical University of Munich
Maulik Chevli
Technical University of Munich
Peter Norlander
Associate Professor of Management, Loyola University Chicago
Sai Teja Peddinti
Google Inc.
Patrick Gage Kelley
Google, University of New Mexico, Carnegie Mellon University
Kurt Thomas
Research Scientist @ Google
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