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 11–20 of 174 papers

TitleStatusHype
DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice ConversionCode1
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
Radiology Text Analysis System (RadText): Architecture and EvaluationCode1
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text AnonymizationCode1
Ego4D: Around the World in 3,000 Hours of Egocentric VideoCode1
Speech Pseudonymisation Assessment Using Voice Similarity MatricesCode1
MASK: A flexible framework to facilitate de-identification of clinical textsCode1
CIAGAN: Conditional Identity Anonymization Generative Adversarial NetworksCode1
Face Identity Disentanglement via Latent Space MappingCode1
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical RecordsCode1
Show:102550
← PrevPage 2 of 18Next →

No leaderboard results yet.