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 31–40 of 174 papers

TitleStatusHype
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image FormatsCode2
EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model—0
Computational Job Market Analysis with Natural Language ProcessingCode0
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
Show:102550
← PrevPage 4 of 18Next →

No leaderboard results yet.