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De-identification

De-identification is the task of detecting privacy-related entities in text, such as person names, emails and contact data.

Papers

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Showing 81–90 of 174 papers

TitleStatusHype
Named Entity Recognition in Unstructured Medical Text Documents—0
Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish—0
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification—0
Open video data sharing in developmental and behavioural science—0
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences—0
Palmprint De-Identification Using Diffusion Model for High-Quality and Diverse Synthesis—0
Performance of Automatic De-identification Across Different Note Types—0
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation—0
Plausible Deniability for Privacy-Preserving Data Synthesis—0
Privacy-preserving Optics for Enhancing Protection in Face De-identification—0
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