Stephen Meisenbacher

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 23

Top Topics

Privacy Preservation

Natural Language Processing

Complexity Analysis

Top Venues

CIISR@Wirtschaftsinformatik

Publications

Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. AMCIS (2024)
Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. CoRR (2024)
Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. CoRR (2024)
Stephen Meisenbacher, Florian Matthes
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text. ARES (2024)
Stephen Meisenbacher, Florian Matthes
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text. CoRR (2024)
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. IWSPA@CODASPY (2024)
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. CoRR (2024)
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. ACL (Findings) (2024)
Stephen Meisenbacher, Maulik Chevli, Florian Matthes
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy. CoRR (2024)
Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. CoRR (2024)
Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. CoRR (2024)
Alexandra Klymenko, Stephen Meisenbacher, Ali Asaf Polat, Florian Matthes
Breaking Down Privacy by Design: A Threefold Perspective. AMCIS (2024)
Stephen Meisenbacher, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off. CoRR (2024)
Alexandra Klymenko, Stephen Meisenbacher, Luca Favaro, Florian Matthes
On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering. ICEIS (2) (2024)
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. CoRR (2023)
Stephen Meisenbacher, Peter Norlander
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML). CoRR (2023)
Alexandra Klymenko, Stephen Meisenbacher, Florian Messmer, Florian Matthes
Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective. CIISR@Wirtschaftsinformatik (2023)
Alexandra Klymenko, Stephen Meisenbacher, Florian Matthes
The Structure of Data Privacy Compliance. CIISR@Wirtschaftsinformatik (2023)
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. AMCIS (2023)
Juraj Vladika, Stephen Meisenbacher, Florian Matthes
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. GermEval@KONVENS (2022)
Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. ESEM (2022)
Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. CoRR (2022)
Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes
Differential Privacy in Natural Language Processing: The Story So Far. CoRR (2022)