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Stephen Meisenbacher

Observed names: Meisenbacher, Stephen, Meisenbacher, Stephen and Machner, Nektarios and Vladika, Juraj and Matthes, Florian
ORCID: 0000-0001-9230-5001
Observed ORCID: 0000-0001-9230-5001
OpenAlex ID: A5028457047
Differential Privacy in Natural Language Processing The Story So Far
2022 · Oleksandra Klymenko, Stephen Meisenbacher, et al. · Workshop on Privacy in Natural Language Processing (PrivateNLP) · 27
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Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study
2022 · Oleksandra Klymenko, Oleksandr Kosenkov, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · 23
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DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
2024 · Stephen Meisenbacher, Maulik Chevli, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 9
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Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
2024 · Stephen Meisenbacher, Florian Matthes · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
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On the Impact of Noise in Differentially Private Text Rewriting
2025 · Stephen Meisenbacher, Maulik Chevli, et al. · Findings of the Association for Computational Linguistics: NAACL · 4
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1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy
2024 · Stephen Meisenbacher, Maulik Chevli, et al. · ACM International Workshop on Security and Privacy Analytics (IWSPA) · 4
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A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
2024 · Stephen Meisenbacher, Maulik Chevli, et al. · Workshop on Privacy in Natural Language Processing (PrivateNLP) · 4
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LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data
2025 · Stephen Meisenbacher, Alexandra Klymenko, et al. · 3
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Supporting the Integration of Privacy-Enhancing Technologies into the Software Development Life Cycle
2025 · Alexandra Klymenko, Stephen Meisenbacher, et al. · SN Computer Science · 3
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Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text
2024 · Stephen Meisenbacher, Florian Matthes · International Conference on Availability, Reliability and Security (ARES) · 3
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off
2024 · Stephen Meisenbacher, Nihildev Nandakumar, et al. · Language Resources and Evaluation Conference (LREC) · 3
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On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering
2024 · Alexandra Klymenko, Stephen Meisenbacher, et al. · International Conference on Enterprise Information Systems · 3
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML)
2023 · Meisenbacher, Stephen, Norlander, Peter · arXiv (Cornell University) · 3
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SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems
2026 · Andreea-Elena Bodea, Stephen Meisenbacher, et al. · IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 2
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Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
2026 · Anxhela Maloku, Alexandra Klymenko, et al. · Workshop on Usable Security (USEC) · 2
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When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing
2025 · Mahdi Dhaini, Stephen Meisenbacher, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 2
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The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
2025 · Stephen Meisenbacher, Alexandra Klymenko, et al. · Workshop on Privacy in the Electronic Society · 2
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Investigating User Perspectives on Differentially Private Text Privatization
2025 · Stephen Meisenbacher, Alexandra Klymenko, et al. · Workshop on Privacy in Natural Language Processing (PrivateNLP) · 2
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Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives
2024 · Meisenbacher, Stephen, Klymenko, Alexandra, et al. · arXiv (Cornell University) · 2
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Creating Data from Unstructured Text with Context Rule Assisted Machine Learning (CRAML)
2023 · Stephen Meisenbacher, Peter Norlander · SSRN Electronic Journal · 2
A Systematic Analysis of Data Protection Regulations
2025 · Alexandra Klymenko, Stephen Meisenbacher, et al. · Hawaii International Conference on System Sciences (HICSS) · 1
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An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry
2024 · Meisenbacher, Stephen, Schopf, Tim, et al. · arXiv (Cornell University) · 1
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Spend Your Budget Wisely: Towards an Intelligent Distribution of the Privacy Budget in Differentially Private Text Rewriting
2024 · Stephen Meisenbacher, Chaeeun Joy Lee, et al. · ACM Conference on Data and Application Security and Privacy (CODASPY) · 1
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Aggregate Data for "Tools for Unlocking Standard Data from Job Postings"
2026 · Norlander, Peter, Meisenbacher, Stephen, et al. · Zenodo (CERN European Organization for Nuclear Research)
Improving the Utility, Privacy, and Human Acceptance of Differentially Private Rewritten Texts
2026 · Stephen Meisenbacher, Endrit Jashari, et al. · Lecture notes in computer science
Works count: 72
Citation count: 116
H-index: 4
I10-index: 2
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