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 91–100 of 174 papers

TitleStatusHype
Privacy-preserving Optics for Enhancing Protection in Face De-identification—0
Privacy-Protective-GAN for Face De-identification—0
Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples—0
RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification—0
Re-identification of De-identified Documents with Autoregressive Infilling—0
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations—0
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing—0
rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm—0
SAIC: Integration of Speech Anonymization and Identity Classification—0
Scrubbing Sensitive PHI Data from Medical Records made Easy by SpaCy -- A Scalable Model Implementation Comparisons—0
Show:102550
← PrevPage 10 of 18Next →

No leaderboard results yet.