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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 51–100 of 174 papers

TitleStatusHype
Generation and De-Identification of Indian Clinical Discharge Summaries using LLMsCode0
Computational Job Market Analysis with Natural Language ProcessingCode0
Natural Language Generation for Electronic Health RecordsCode0
RID-TWIN: An end-to-end pipeline for automatic face de-identification in videosCode0
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data—0
Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain—0
EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model—0
End-to-end speech recognition modeling from de-identified data—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
k-Same-Siamese-GAN: k-Same Algorithm with Generative Adversarial Network for Facial Image De-identification with Hyperparameter Tuning and Mixed Precision Training—0
KU\_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI—0
AnonymousNet: Natural Face De-Identification with Measurable Privacy—0
Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes—0
Large Language Models for Patient Comments Multi-Label Classification—0
Live Face De-Identification in Video—0
LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages—0
MAPA Project: Ready-to-Go Open-Source Datasets and Deep Learning Technology to Remove Identifying Information from Text Documents—0
Medical Image Deidentification, Cleaning and Compression Using Pylogik—0
Named Entity Recognition in Unstructured Medical Text Documents—0
Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish—0
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification—0
Open video data sharing in developmental and behavioural science—0
PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences—0
Palmprint De-Identification Using Diffusion Model for High-Quality and Diverse Synthesis—0
Performance of Automatic De-identification Across Different Note Types—0
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation—0
Plausible Deniability for Privacy-Preserving Data Synthesis—0
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
Sensitive Data Detection with High-Throughput Machine Learning Models in Electrical Health Records—0
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