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2020 – today
- 2024
[c15]Stephen Meisenbacher
, Florian Matthes:
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text. ARES 2024: 133:1-133:11- [c14]Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. ACL (Findings) 2024: 9314-9328 - [c13]Alexandra Klymenko, Stephen Meisenbacher, Ali Asaf Polat, Florian Matthes:
Breaking Down Privacy by Design: A Threefold Perspective. AMCIS 2024 - [c12]Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. AMCIS 2024 - [c11]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. IWSPA@CODASPY 2024: 23-33 - [c10]Stephen Joseph Meisenbacher, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes:
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off. LREC/COLING 2024: 174-185 - [c9]Alexandra Klymenko, Stephen Meisenbacher, Iva Lilova, Florian Matthes:
Investigating the Motivational Factors Influencing Managerial Decisions to Adopt Privacy-Enhancing Technologies. ECIS 2024 - [c8]Stephen Meisenbacher, Florian Matthes:
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting. EMNLP 2024: 5656-5665 - [c7]Alexandra Klymenko, Stephen Meisenbacher, Luca Favaro, Florian Matthes:
On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering. ICEIS (2) 2024: 41-52 - [c6]Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes:
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. BBBBBBBBBB 2024: 159-165 - [i13]Stephen Meisenbacher, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes:
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off. CoRR abs/2404.03324 (2024) - [i12]Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. CoRR abs/2404.18759 (2024) - [i11]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy. CoRR abs/2405.01678 (2024) - [i10]Stephen Meisenbacher, Florian Matthes:
Just Rewrite It Again: A Post-Processing Method for Enhanced Semantic Similarity and Privacy Preservation of Differentially Private Rewritten Text. CoRR abs/2405.19831 (2024) - [i9]Stephen Meisenbacher, Maulik Chevli, Juraj Vladika, Florian Matthes:
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models. CoRR abs/2407.00637 (2024) - [i8]Stephen Meisenbacher, Maulik Chevli, Florian Matthes:
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy. CoRR abs/2407.00638 (2024) - [i7]Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes:
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. CoRR abs/2407.02027 (2024) - [i6]Stephen Meisenbacher, Tim Schopf, Weixin Yan, Patrick Holl, Florian Matthes:
An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry. CoRR abs/2407.14085 (2024) - [i5]Stephen Meisenbacher, Florian Matthes:
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting. CoRR abs/2410.00751 (2024) - 2023
- [c5]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. AMCIS 2023 - [c4]Alexandra Klymenko, Stephen Meisenbacher, Florian Messmer, Florian Matthes:
Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective. CIISR@Wirtschaftsinformatik 2023: 62-69 - [c3]Alexandra Klymenko, Stephen Meisenbacher, Florian Matthes:
The Structure of Data Privacy Compliance. CIISR@Wirtschaftsinformatik 2023: 85-91 - [i4]Stephen Meisenbacher, Peter Norlander:
Transforming Unstructured Text into Data with Context Rule Assisted Machine Learning (CRAML). CoRR abs/2301.08549 (2023) - [i3]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. CoRR abs/2306.15497 (2023) - 2022
- [c2]Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes:
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. ESEM 2022: 261-271 - [c1]Juraj Vladika, Stephen Meisenbacher, Florian Matthes:
TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis. GermEval@KONVENS 2022: 51-56 - [i2]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Differential Privacy in Natural Language Processing: The Story So Far. CoRR abs/2208.08140 (2022) - [i1]Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes:
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. CoRR abs/2208.08671 (2022)
Coauthor Index
aka: Oleksandra Klymenko
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