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De-identification

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

Papers

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Showing 81–90 of 174 papers

TitleStatusHype
Plausible Deniability for Privacy-Preserving Data Synthesis—0
Privacy-preserving Optics for Enhancing Protection in Face De-identification—0
AnonymousNet: Natural Face De-Identification with Measurable Privacy—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
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