SOTAVerified

De-identification

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–60 of 174 papers

TitleStatusHype
Privacy-preserving Optics for Enhancing Protection in Face De-identification—0
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videosCode0
A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from SpeechCode0
De-identification is not always enough—0
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing—0
SAIC: Integration of Speech Anonymization and Identity Classification—0
Beyond Accuracy: Automated De-Identification of Large Real-World Clinical Text Datasets—0
VerA: Versatile Anonymization Applicable to Clinical Facial Photographs—0
De-identification of clinical free text using natural language processing: A systematic review of current approaches—0
Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identification—0
Show:102550
← PrevPage 6 of 18Next →

No leaderboard results yet.