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 131–140 of 174 papers

TitleStatusHype
Face Identity Disentanglement via Latent Space MappingCode1
A Semi-supervised Approach for De-identification of Swedish Clinical Text—0
CodE Alltag 2.0 --- A Pseudonymized German-Language Email Corpus—0
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation—0
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical RecordsCode1
Live Face De-Identification in Video—0
Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text—0
Towards De-identification of Legal Texts—0
Synthesis of Realistic ECG using Generative Adversarial NetworksCode1
De-Identification of Emails: Pseudonymizing Privacy-Sensitive Data in a German Email Corpus—0
Show:102550
← PrevPage 14 of 18Next →

No leaderboard results yet.