Stephen Meisenbacher
Orcid: 0000-0001-9230-5001
According to our database1,
Stephen Meisenbacher
authored at least 19 papers
between 2022 and 2024.
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Bibliography
2024
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives.
CoRR, 2024
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy.
CoRR, 2024
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry.
Proceedings of the 20th Conference on Natural Language Processing, 2024
On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Investigating the Motivational Factors Influencing Managerial Decisions to Adopt Privacy-Enhancing Technologies.
Proceedings of the 32nd European Conference on Information Systems, 2024
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy.
Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics, 2024
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective.
Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024
Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text.
Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024
2023
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML).
CoRR, 2023
Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective.
Proceedings of the 3rd International Workshop on Current Information Security and Compliance Issues in Information Systems Research (CIISR 2023) Co-located with the 18th International Conference on Wirtschaftsinformatik (WI 2023), 2023
Proceedings of the 3rd International Workshop on Current Information Security and Compliance Issues in Information Systems Research (CIISR 2023) Co-located with the 18th International Conference on Wirtschaftsinformatik (WI 2023), 2023
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance.
Proceedings of the 29th Americas Conference on Information Systems, 2023
2022
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis.
Proceedings of the GermEval 2022 Workshop on Text Complexity Assessment of German Text, 2022
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study.
Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022