| 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 | 34 | 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 | 19 | 2022 |
| Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance O Klymenko, S Meisenbacher, F Matthes AMCIS 2023 Proceedings, 2023 | 9 | 2023 |
| A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off S Meisenbacher, N Nandakumar, A Klymenko, F Matthes Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 5 | 2024 |
| Transforming unstructured text into data with context rule assisted machine learning (CRAML) S Meisenbacher, P Norlander arXiv preprint arXiv:2301.08549, 2023 | 4 | 2023 |
| DP-MLM: Differentially Private Text Rewriting Using Masked Language Models S Meisenbacher, M Chevli, J Vladika, F Matthes In Findings of the Association for Computational Linguistics ACL 2024, 9314–9328, 2024 | 3 | 2024 |
| Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives S Meisenbacher, A Klymenko, PG Kelley, ST Peddinti, K Thomas, ... arXiv preprint arXiv:2407.02027, 2024 | 3 | 2024 |
| 1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy S Meisenbacher, M Chevli, F Matthes Proceedings of the 10th ACM International Workshop on Security and Privacy …, 2024 | 3 | 2024 |
| Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective A Klymenko, S Meisenbacher, F Messmer, F Matthes CIISR@ Wirtschaftsinformatik, 62-69, 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 |
| 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 AMCIS 2024 Proceedings, 2024 | 2 | 2024 |
| The Structure of Data Privacy Compliance A Klymenko, S Meisenbacher, F Matthes CIISR@ Wirtschaftsinformatik, 85-91, 2023 | 2 | 2023 |
| Creating data from unstructured text with context rule assisted machine learning (CRAML) S Meisenbacher, P Norlander Available at SSRN 4321894, 2022 | 2 | 2022 |
| Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting S Meisenbacher, F Matthes Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text S Meisenbacher, F Matthes Proceedings of the 19th International Conference on Availability …, 2024 | 1 | 2024 |
| Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes J Vladika, S Meisenbacher, F Matthes arXiv preprint arXiv:2502.04173, 2025 | | 2025 |
| On the Impact of Noise in Differentially Private Text Rewriting S Meisenbacher, M Chevli, F Matthes arXiv preprint arXiv:2501.19022, 2025 | | 2025 |
| A Systematic Analysis of Data Protection Regulations A Klymenko, S Meisenbacher, AA Polat, F Matthes Proceedings of the 58th Hawaii International Conference on System Sciences, 2025 | | 2025 |
| An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry S Meisenbacher, T Schopf, W Yan, P Holl, F Matthes Proceedings of the 20th Conference on Natural Language Processing (KONVENS …, 2024 | | 2024 |
| A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy S Meisenbacher, M Chevli, F Matthes In Proceedings of the Fifth Workshop on Privacy in Natural Language …, 2024 | | 2024 |
Florian MatthesProfessor of Computer Science, Technische Universität Münchenایمیل تأیید شده در tum.de