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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 121–130 of 174 papers

TitleStatusHype
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models—0
Biomedical Named Entity Recognition at ScaleCode0
Speaker De-identification System using Autoencodersand Adversarial Training—0
The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project—0
The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text—0
PHICON: Improving Generalization of Clinical Text De-identification Models via Data AugmentationCode0
Smartphone Camera De-identification while Preserving Biometric Utility—0
Privacy Guarantees for De-identifying Text TransformationsCode0
Hide-and-Seek Privacy ChallengeCode0
The UU-Net: Reversible Face De-Identification for Visual Surveillance Video FootageCode0
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