3 papers
cs.DL2024
Documentation Practices of Artificial Intelligence
Stefan Arnold, Dilara Yesilbas, Rene Gröbner +3
Artificial Intelligence (AI) faces persistent challenges in terms of transparency and accountability, which requires rigorous documentation. Through a literature review on document…
cs.CL2023
Guiding Text-to-Text Privatization by Syntax
Stefan Arnold, Dilara Yesilbas, Sven Weinzierl
Metric Differential Privacy is a generalization of differential privacy tailored to address the unique challenges of text-to-text privatization. By adding noise to the representati…
cs.CL2023
Driving Context into Text-to-Text Privatization
Stefan Arnold, Dilara Yesilbas, Sven Weinzierl
\textit{Metric Differential Privacy} enables text-to-text privatization by adding calibrated noise to the vector of a word derived from an embedding space and projecting this noisy…