Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Stephen Meisenbacher is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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NLawP: Natural Language Processing and Legal Tech
Djeffal, C. (PI), Meisenbacher, S. (CoI), Vladika, J. (CoI), Matthes, F. (PI), Rebohl, D. (CoI), Müller, V. (CoI) & Bisoyi, A. (CoI)
1/01/23 → 31/12/25
Project: Research
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CD4AI: Leveraging Domain Knowledge and Context Rules to Transform Large-Scale Unstructured Text Corpora into Structured and Annotated Datasets
Schopf, T. (PI), Meisenbacher, S. (PI) & Matthes, F. (PI)
1/01/23 → 31/12/25
Project: Research
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PRAISE: Privacy Risks of General-Purpose AI Systems: Stakeholder Perspectives in Europe
Meisenbacher, S. (PI), Klymenko, A. (PI) & Matthes, F. (PI)
25/10/23 → 24/10/24
Project: Research
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1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
Meisenbacher, S., Chevli, M. & Matthes, F., 21 Jun 2024, IWSPA 2024 - Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics. Association for Computing Machinery, Inc, p. 23-33 11 p. (IWSPA 2024 - Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access1 Scopus citations -
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
Meisenbacher, S., Chevli, M. & Matthes, F., 2024, PrivateNLP 2024 - 5th Workshop on Privacy in Natural Language Processing, Proceedings of the Workshop. Habernal, I., Ghanavati, S., Ravichander, A., Jain, V., Thaine, P., Igamberdiev, T., Mireshghallah, N. & Feyisetan, O. (eds.). Association for Computational Linguistics (ACL), p. 39-51 13 p. (PrivateNLP 2024 - 5th Workshop on Privacy in Natural Language Processing, Proceedings of the Workshop).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off
Meisenbacher, S., Nandakumar, N., Klymenko, A. & Matthes, F., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 174-185 12 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry
Meisenbacher, S., Schopf, T., Yan, W., Holl, P. & Matthes, F., 21 Jul 2024, p. 159–165.Research output: Contribution to conference › Paper › peer-review
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Breaking Down Privacy by Design: A Threefold Perspective
Klymenko, A., Meisenbacher, S., Polat, A. A. & Matthes, F., 2024, 30th Americas Conference on Information Systems, AMCIS 2024. Association for Information Systems, (30th Americas Conference on Information Systems, AMCIS 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review