De-identification

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

Papers

Showing 171–174 of 174 papers

Title	Date	Tasks	Status
The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage	Jul 8, 2020	De-identificationGenerative Adversarial Network	CodeCode Available
PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation	Oct 11, 2020	Data AugmentationDe-identification	CodeCode Available
SVIA: A Street View Image Anonymization Framework for Self-Driving Applications	Jan 16, 2025	De-identificationImage Generation	CodeCode Available
Privacy Guarantees for De-identifying Text Transformations	Aug 7, 2020	BIG-bench Machine LearningDe-identification	CodeCode Available

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