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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 51–60 of 174 papers

TitleStatusHype
De-Identification of Emails: Pseudonymizing Privacy-Sensitive Data in a German Email Corpus—0
De-Identification of French Unstructured Clinical Notes for Machine Learning Tasks—0
Privacy Protection in MRI Scans Using 3D Masked Autoencoders—0
De-identification of medical records using conditional random fields and long short-term memory networks—0
Applying and Sharing pre-trained BERT-models for Named Entity Recognition and Classification in Swedish Electronic Patient Records—0
AnonymousNet: Natural Face De-Identification with Measurable Privacy—0
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective—0
De-identification without losing faces—0
De-identifying Free Text of Japanese Dummy Electronic Health Records—0
D\'esidentification de donn\'ees texte produites dans un cadre de relation client (De-identification of customer relationship text data )—0
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