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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 61–70 of 174 papers

TitleStatusHype
Conditional De-Identification of 3D Magnetic Resonance Images—0
A Systematical Solution for Face De-identification—0
A survey of automatic de-identification of longitudinal clinical narratives—0
Alternating Loss Correction for Preterm-Birth Prediction from EHR Data with Noisy Labels—0
Disguise without Disruption: Utility-Preserving Face De-Identification—0
CodE Alltag 2.0 --- A Pseudonymized German-Language Email Corpus—0
DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization—0
Digital Speech Algorithms for Speaker De-Identification—0
AspirinSum: an Aspect-based utility-preserved de-identification Summarization framework—0
Adversarial Privacy Preservation in MRI Scans of the Brain—0
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