2 citations · 7 across the 22 of their papers we have counts for
26 papers
PrivBench: A Holistic and Modular Benchmarking Platform for Evaluating Text-to-Text Privatization
Stephen Meisenbacher, Andreea-Elena Bodea, Ahmet Bilal Akın +3
Natural Language Processing methods have enabled novel solutions and advances in the field of privacy, particularly in the sub-domain of text-to-text privatization, where the goal…
Introducing the Privacy-HSD Trade-off: Hate Speech Detection, but not at the Cost of Privacy
Stephen Meisenbacher, Vlad Garbuz, Chirill Donos +5
Hate speech is a real and timely threat that affects a large portion of online users, especially youth and minority groups. While building reliable and robust automatic hate speech…
Building a Custom Taxonomy of AI Skills and Tasks from the Ground Up with Job Postings
Stephen Meisenbacher, Peter Norlander
Utilizing LLMs for automated taxonomy construction presents a clear opportunity for the comprehensive, yet efficient mapping of potentially complex domains. When contending with hi…
A Systematic Exploration of Text Decomposition and Budget Distribution in Differentially Private Text Obfuscation
Stephen Meisenbacher, Angelo Kleinert, Florian Matthes
The goal of differentially private text obfuscation is to obfuscate, or "perturb", input texts with Differential Privacy (DP) guarantees, such that the private output texts are qua…
A Case Study on the Impact of Anonymization Along the RAG Pipeline
Andreea-Elena Bodea, Stephen Meisenbacher, Florian Matthes
Despite the considerable promise of Retrieval-Augmented Generation (RAG), many real-world use cases may create privacy concerns, where the purported utility of RAG-enabled insights…
Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice
Anxhela Maloku, Alexandra Klymenko, Stephen Meisenbacher +1
In the study of Human-Computer Interaction, privacy is often seen as a core issue, and it has been explored directly in connection with User Interface (UI) and User Experience (UX)…