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

2 citations · 4 across the 5 of their papers we have counts for

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cs.CL2026

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…

cs.CL2026

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…