Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. - Oleksandra Klymenko; Oleksandr Kosenkov; Stephen Meisenbacher; Parisa Elahidoost; Daniel Méndez 001; Florian Matthes (ESEM, 2022)

TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. - Juraj Vladika; Stephen Meisenbacher; Florian Matthes (GermEval@KONVENS, 2022)

Differential Privacy in Natural Language Processing: The Story So Far. - Oleksandra Klymenko; Stephen Meisenbacher; Florian Matthes (CoRR, 2022)

Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. - Oleksandra Klymenko; Stephen Meisenbacher; Florian Matthes (AMCIS, 2023)

The Structure of Data Privacy Compliance. - Alexandra Klymenko; Stephen Meisenbacher; Florian Matthes (CIISR@Wirtschaftsinformatik, 2023)

Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective. - Alexandra Klymenko; Stephen Meisenbacher; Florian Messmer; Florian Matthes (CIISR@Wirtschaftsinformatik, 2023)

Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML). - Stephen Meisenbacher; Peter Norlander (CoRR, 2023)

Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text. - Stephen Meisenbacher; Florian Matthes (ARES, 2024)

DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. - Stephen Meisenbacher; Maulik Chevli; Juraj Vladika; Florian Matthes (ACL (Findings), 2024)

Breaking Down Privacy by Design: A Threefold Perspective. - Alexandra Klymenko; Stephen Meisenbacher; Ali Asaf Polat; Florian Matthes (AMCIS, 2024)

Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. - Juraj Vladika; Stephen Meisenbacher; Martina Preis; Alexandra Klymenko; Florian Matthes (AMCIS, 2024)

1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. - Stephen Meisenbacher; Maulik Chevli; Florian Matthes (IWSPA@CODASPY, 2024)

A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off. - Stephen Joseph Meisenbacher; Nihildev Nandakumar; Alexandra Klymenko; Florian Matthes (LREC/COLING, 2024)

Investigating the Motivational Factors Influencing Managerial Decisions to Adopt Privacy-Enhancing Technologies. - Alexandra Klymenko; Stephen Meisenbacher; Iva Lilova; Florian Matthes (ECIS, 2024)

Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting. - Stephen Meisenbacher; Florian Matthes (EMNLP, 2024)

On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering. - Alexandra Klymenko; Stephen Meisenbacher; Luca Favaro; Florian Matthes (ICEIS (2), 2024)

An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. - Stephen Meisenbacher; Tim Schopf; Weixin Yan; Patrick Holl; Florian Matthes (KONVENS, 2024)

A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy. - Stephen Meisenbacher; Maulik Chevli; Florian Matthes (CoRR, 2024)

Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. - Stephen Meisenbacher; Alexandra Klymenko; Patrick Gage Kelley; Sai Teja Peddinti; Kurt Thomas; Florian Matthes (CoRR, 2024)

Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting. - Stephen Meisenbacher; Chaeeun Joy Lee; Florian Matthes (CODASPY, 2025)

Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes. - Juraj Vladika; Stephen Meisenbacher; Florian Matthes (ICAART (3), 2025)

On the Impact of Noise in Differentially Private Text Rewriting. - Stephen Meisenbacher; Maulik Chevli; Florian Matthes (NAACL (Findings), 2025)

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe. - Alexandra Klymenko; Stephen Meisenbacher; Patrick Gage Kelley; Sai Teja Peddinti; Kurt Thomas; Florian Matthes (SOUPS, 2025)

Investigating User Perspectives on Differentially Private Text Privatization. - Stephen Meisenbacher; Alexandra Klymenko; Alexander Karpp; Florian Matthes (CoRR, 2025)

Supporting the Integration of Privacy-Enhancing Technologies into the Software Development Life Cycle. - Alexandra Klymenko; Stephen Meisenbacher; Luca Favaro; Florian Matthes (SN Comput. Sci., 2025)