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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 101–110 of 174 papers

TitleStatusHype
FICGAN: Facial Identity Controllable GAN for De-identification—0
De-identification of Unstructured Clinical Texts from Sequence to Sequence Perspective—0
A Systematical Solution for Face De-identification—0
Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain—0
CFA-Net: Controllable Face Anonymization Network with Identity Representation Manipulation—0
De-identification of Privacy-related Entities in Job PostingsCode0
rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm—0
Creating and Evaluating a Synthetic Norwegian Clinical Corpus for De-Identification—0
Applying and Sharing pre-trained BERT-models for Named Entity Recognition and Classification in Swedish Electronic Patient Records—0
HB Deid - HB De-identification tool demonstrator—0
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