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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 101–125 of 174 papers

TitleStatusHype
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing—0
Toward Face Biometric De-identification using Adversarial Examples—0
Towards a Data Privacy-Predictive Performance Trade-off—0
Towards De-identification of Legal Texts—0
Towards Privacy-Preserving Person Re-identification via Person Identify Shift—0
Towards Reversible De-Identification in Video Sequences Using 3D Avatars and Steganography—0
Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes—0
Transferability of Neural Network Clinical De-identification Systems—0
Transfer Learning for Named-Entity Recognition with Neural Networks—0
Using routinely collected patient data to support clinical trials research in accountable care organizations—0
Utility Preservation of Clinical Text After De-Identification—0
VerA: Versatile Anonymization Applicable to Clinical Facial Photographs—0
Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception and a Deep Convolutional Neural Network (CNN)—0
Exploring AI-based System Design for Pixel-level Protected Health Information Detection in Medical Images—0
CFA-Net: Controllable Face Anonymization Network with Identity Representation Manipulation—0
Face De-identification: State-of-the-art Methods and Comparative Studies—0
Feature-Augmented Neural Networks for Patient Note De-identification—0
FICGAN: Facial Identity Controllable GAN for De-identification—0
Fidelity and Privacy of Synthetic Medical Data—0
Generative Adversarial Networks for Dental Patient Identity Protection in Orthodontic Educational Imaging—0
GiusBERTo: A Legal Language Model for Personal Data De-identification in Italian Court of Auditors Decisions—0
HB Deid - HB De-identification tool demonstrator—0
Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identification—0
IdentityDP: Differential Private Identification Protection for Face Images—0
Medical records condensation: a roadmap towards healthcare data democratisation—0
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