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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
Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records—0
Smartphone Camera De-identification while Preserving Biometric Utility—0
Spanish Datasets for Sensitive Entity Detection in the Legal Domain—0
Speaker De-identification System using Autoencodersand Adversarial Training—0
Speaker Identification Experiments Under Gender De-Identification—0
StyleGAN as a Utility-Preserving Face De-identification Method—0
The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text—0
The Multilingual Anonymisation Toolkit for Public Administrations (MAPA) Project—0
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models—0
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing—0
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