2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 2 cited
Memorization of Named Entities in Fine-tuned BERT Models
Andor Diera, Nicolas Lell, Aygul Garifullina +1
Privacy preserving deep learning is an emerging field in machine learning that aims to mitigate the privacy risks in the use of deep neural networks. One such risk is training data…
cs.LG2021★ 1 cited
rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm
Fabian Singhofer, Aygul Garifullina, Mathias Kern +1
Traditional approaches for data anonymization consider relational data and textual data independently. We propose rx-anon, an anonymization approach for heterogeneous semi-structur…