Stephen Meisenbacher

50 papers A* 2A 2B 1C 1Journal 27Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice.
CoRR
Anxhela Maloku, Alexandra Klymenko, Stephen Meisenbacher, Florian Matthes
2026 J jnl
SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems.
CoRR
Andreea-Elena Bodea, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes
2025 A conf
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe.
SOUPS
Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes
2025 J jnl
"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe.
CoRR
Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes
2025 J jnl
Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data.
CoRR
Stephen Meisenbacher, Svetlozar Nestorov, Peter Norlander
2025 C conf
Investigating Developer Preferences for the Documentation of Privacy Requirements: Perspectives from Germany.
ICIS
Maximilian Josef Frank, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes
2025 J jnl
Investigating User Perspectives on Differentially Private Text Privatization.
CoRR
Stephen Meisenbacher, Alexandra Klymenko, Alexander Karpp, Florian Matthes
2025 J jnl
LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data.
CoRR
Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes
2025 A* conf
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees.
EMNLP
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2025 J jnl
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2025 — conf
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes.
ICAART (3)
Juraj Vladika, Stephen Meisenbacher, Florian Matthes
2025 J jnl
Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes.
CoRR
Juraj Vladika, Stephen Meisenbacher, Florian Matthes
2025 — conf
On the Impact of Noise in Differentially Private Text Rewriting.
NAACL (Findings)
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2025 J jnl
On the Impact of Noise in Differentially Private Text Rewriting.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2025 — conf
Privacy Compliance in Small-sized Enterprises: An Investigation in the German E-commerce Sector.
AMCIS
Alexandra Klymenko, Stephen Meisenbacher, Maximilian Jahr, Florian Matthes
2025 — conf
Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting.
CODASPY
Stephen Meisenbacher, Chaeeun Joy Lee, Florian Matthes
2025 J jnl
Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting.
CoRR
Stephen Meisenbacher, Chaeeun Joy Lee, Florian Matthes
2025 J jnl
Supporting the Integration of Privacy-Enhancing Technologies into the Software Development Life Cycle.
SN Comput. Sci.
Alexandra Klymenko, Stephen Meisenbacher, Luca Favaro, Florian Matthes
2025 — conf
The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization.
WPES
Stephen Meisenbacher, Alexandra Klymenko, Andreea-Elena Bodea, Florian Matthes
2025 J jnl
The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization.
CoRR
Stephen Meisenbacher, Alexandra Klymenko, Andreea-Elena Bodea, Florian Matthes
2025 J jnl
When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing.
CoRR
Mahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes, Gjergji Kasneci
2025 — conf
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting.
IJCNLP-AACL (long papers)
Stephen Meisenbacher, Florian Matthes
2025 J jnl
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting.
CoRR
Stephen Meisenbacher, Florian Matthes
2024 — conf
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy.
IWSPA@CODASPY
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2024 J jnl
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2024 J jnl
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy.
CoRR
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
2024 J jnl
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off.
CoRR
Stephen Meisenbacher, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes
2024 — conf
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry.
KONVENS
Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes
2024 J jnl
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry.
CoRR
Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes
2024 — conf
Breaking Down Privacy by Design: A Threefold Perspective.
AMCIS
Alexandra Klymenko, Stephen Meisenbacher, Ali Asaf Polat, Florian Matthes
2024 — conf
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models.
ACL (Findings)
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
2024 J jnl
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models.
CoRR
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
2024 — conf
Investigating the Motivational Factors Influencing Managerial Decisions to Adopt Privacy-Enhancing Technologies.
ECIS
Alexandra Klymenko, Stephen Meisenbacher, Iva Lilova, Florian Matthes
2024 B conf
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text.
ARES
Stephen Meisenbacher, Florian Matthes
2024 J jnl
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text.
CoRR
Stephen Meisenbacher, Florian Matthes
2024 — conf
On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering.
ICEIS (2)
Alexandra Klymenko, Stephen Meisenbacher, Luca Favaro, Florian Matthes
2024 J jnl
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives.
CoRR
Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes
2024 A* conf
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting.
EMNLP
Stephen Meisenbacher, Florian Matthes
2024 J jnl
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting.
CoRR
Stephen Meisenbacher, Florian Matthes
2024 — conf
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective.
AMCIS
Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes
2024 J jnl
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective.
CoRR
Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes
2023 — conf
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance.
AMCIS
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
2023 J jnl
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance.
CoRR
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
2023 — conf
Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective.
CIISR@Wirtschaftsinformatik
Alexandra Klymenko, Stephen Meisenbacher, Florian Messmer, Florian Matthes
2023 — conf
The Structure of Data Privacy Compliance.
CIISR@Wirtschaftsinformatik
Alexandra Klymenko, Stephen Meisenbacher, Florian Matthes
2023 J jnl
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML).
CoRR
Stephen Meisenbacher, Peter Norlander
2022 J jnl
Differential Privacy in Natural Language Processing: The Story So Far.
CoRR
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
2022 — conf
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis.
GermEval@KONVENS
Juraj Vladika, Stephen Meisenbacher, Florian Matthes
2022 A conf
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study.
ESEM
Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes
2022 J jnl
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study.
CoRR
Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes