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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 71–80 of 174 papers

TitleStatusHype
De-identification is not always enough—0
De-identification In practice—0
Automatic end-to-end De-identification: Is high accuracy the only metric?—0
An Overview of AI and Blockchain Integration for Privacy-Preserving—0
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation—0
Deep Learning Architecture for Patient Data De-identification in Clinical Records—0
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation—0
DeepDefacer: Automatic Removal of Facial Features via U-Net Image Segmentation—0
Augmenting a De-identification System for Swedish Clinical Text Using Open Resources and Deep Learning—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
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