Uncertainty expressions in software architecture group decision making: explorative study. - Klym Shumaiev; Manoj Bhat; Oleksandra Klymenko; Andreas Biesdorf; Uwe Hohenstein; Florian Matthes (ECSA (Companion), 2018)

Automatic Text Summarization: A State-of-the-Art Review. - Oleksandra Klymenko; Daniel Braun 003; Florian Matthes (ICEIS (1), 2020)

The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering. - Daniel Braun 003; Oleksandra Klymenko; Tim Schopf; Yusuf Kaan Akan; Florian Matthes (MSIE, 2021)

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)

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)

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)

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)

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

"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)