Stephen Meisenbacher
9 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Gold
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Taxonomy Completionist
(13)
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Hot Topic Early Bird
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Keyword Champion
(2)
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(8)
Artificial Intelligence
(5)
Core AI
(5)
Natural Language Processing
(4)
Security & Privacy
(4)
Differential Privacy
(4)
Core Methods
(3)
Generation
(3)
Deep Learning
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Interdisciplinary
(1)
Applications
(1)
Optimization & Theory
(1)
Keywords
differential privacy
(8)
natural language processing
(4)
text privatization
(3)
text rewriting
(3)
privacy parameter
(2)
privacy-preserving nlp
(2)
privacy-utility trade-off
(2)
word embedding
(2)
utility loss
(1)
language model prompting
(1)
survey methodology
(1)
document generation
(1)
user perception
(1)
dataset size
(1)
noise addition
(1)
semantic triple
(1)
private document generation
(1)
survey study
(1)
document rewriting
(1)
privacy-enhancing technologies
(1)
Papers
Investigating User Perspectives on Differentially Private Text Privatization
NAACL 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
EMNLP 2025
On the Impact of Noise in Differentially Private Text Rewriting
NAACL 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
IJCNLP 2025
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
ACL 2024
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off
COLING 2024
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models
ACL 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
EMNLP 2024
Differential Privacy in Natural Language Processing: The Story So Far
NAACL 2022