| Differential Privacy in Natural Language Processing: The Story So Far O Klymenko, S Meisenbacher, F Matthes Proceedings of the Fourth Workshop on Privacy in Natural Language Processing, 2022 | 19 | 2022 |
| Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study O Klymenko, O Kosenkov, S Meisenbacher, P Elahidoost, D Mendez, ... Proceedings of the 16th ACM/IEEE International Symposium on Empirical …, 2022 | 9 | 2022 |
| Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance O Klymenko, S Meisenbacher, F Matthes AMCIS 2023 Proceedings, 2023 | 6 | 2023 |
| Transforming unstructured text into data with context rule assisted machine learning (CRAML) S Meisenbacher, P Norlander arXiv preprint arXiv:2301.08549, 2023 | 3 | 2023 |
| TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis J Vladika, S Meisenbacher, F Matthes Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of …, 2022 | 3 | 2022 |
| The Structure of Data Privacy Compliance A Klymenko, S Meisenbacher, F Matthes CIISR, 85, 2023 | 2 | 2023 |
| Creating Data from Unstructured Text with Context Rule Assisted Machine Learning (CRAML) S Meisenbacher, P Norlander Available at SSRN 4321894, 2022 | 1 | 2022 |
| 1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy S Meisenbacher, M Chevli, F Matthes arXiv preprint arXiv:2405.01678, 2024 | | 2024 |
| Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective J Vladika, S Meisenbacher, M Preis, A Klymenko, F Matthes arXiv preprint arXiv:2404.18759, 2024 | | 2024 |
| A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off S Meisenbacher, N Nandakumar, A Klymenko, F Matthes arXiv preprint arXiv:2404.03324, 2024 | | 2024 |
| Investigating the Motivational Factors Influencing Managerial Decisions to Adopt Privacy-Enhancing Technologies A Klymenko, S Meisenbacher, I Lilova, F Matthes | | 2024 |
| Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective A Klymenko, S Meisenbacher, F Messmer, F Matthes CIISR, 62, 2023 | | 2023 |
| On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering A Klymenko, S Meisenbacher, L Favaro, F Matthes | | |
Florian MatthesProfessor of Computer Science, Technische Universität MünchenVerifisert e-postadresse på tum.de
