| 2025 | AIES | When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing. | Mahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes, Gjergji Kasneci |
| 2025 | EMNLP | Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees. | Stephen Meisenbacher, Maulik Chevli, Florian Matthes |
| 2025 | ICAART | Lexical Substitution is not Synonym Substitution: On the Importance of Producing Contextually Relevant Word Substitutes. | Juraj Vladika, Stephen Meisenbacher, Florian Matthes |
| 2025 | ICIS | Investigating Developer Preferences for the Documentation of Privacy Requirements: Perspectives from Germany. | Maximilian Josef Frank, Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes |
| 2025 | IJCNLP | With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting. | Stephen Meisenbacher, Florian Matthes |
| 2025 | NAACL | On the Impact of Noise in Differentially Private Text Rewriting. | Stephen Meisenbacher, Maulik Chevli, Florian Matthes |
| 2025 | SOUPS | "We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe. | Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes |
| 2024 | ACL | DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. | Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes |
| 2024 | EMNLP | Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting. | Stephen Meisenbacher, Florian Matthes |
| 2022 | ESEM | Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. | Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Mndez, Florian Matthes |