collaborators

6 papers

cs.HC2026

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)…

cs.CR2026

SoK: Privacy Risks and Mitigations in Retrieval-Augmented Generation Systems

Andreea-Elena Bodea, Stephen Meisenbacher, Alexandra Klymenko +1

The continued promise of Large Language Models (LLMs), particularly in their natural language understanding and generation capabilities, has driven a rapidly increasing interest in…

cs.HC2025

"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 +3

The proliferation of AI has sparked privacy concerns related to training data, model interfaces, downstream applications, and more. We interviewed 25 AI developers based in Europe…

cs.CR2025

The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization

Stephen Meisenbacher, Alexandra Klymenko, Andreea-Elena Bodea +1

Differentially private text sanitization refers to the process of privatizing texts under the framework of Differential Privacy (DP), providing provable privacy guarantees while al…

cs.CL2025

LLM-as-a-Judge for Privacy Evaluation? Exploring the Alignment of Human and LLM Perceptions of Privacy in Textual Data

Stephen Meisenbacher, Alexandra Klymenko, Florian Matthes

Despite advances in the field of privacy-preserving Natural Language Processing (NLP), a significant challenge remains the accurate evaluation of privacy. As a potential solution,…

cs.CL2025

Investigating User Perspectives on Differentially Private Text Privatization

Stephen Meisenbacher, Alexandra Klymenko, Alexander Karpp +1

Recent literature has seen a considerable uptick in (DP NLP). This includes DP text privatization, where potentially s…