Image de couverture de livre

BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lyu, Weimin, Bi, Zexin, Wang, Fusheng, Chen, Chao
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Large Language Models to Identify Social Determinants of Health in Electronic Health Records
par: Guevara, Marco, et autres
Publié: (2023)

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
par: Wang, Yifei, et autres
Publié: (2024)

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records
par: Li, Dongchen, et autres
Publié: (2025)

BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
par: Tong, Terry, et autres
Publié: (2025)

Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review
par: Bilal, Muhammad, et autres
Publié: (2024)

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
par: Luo, Zhimeng, et autres
Publié: (2025)

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
par: Zhao, Shuai, et autres
Publié: (2023)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
par: Zhu, Yinghao, et autres
Publié: (2024)

Generative Foundation Model for Structured and Unstructured Electronic Health Records
par: Sivarajkumar, Sonish, et autres
Publié: (2025)

Integrating Large Language Models with Human Expertise for Disease Detection in Electronic Health Records
par: Pan, Jie, et autres
Publié: (2025)

Large Language Models are Powerful Electronic Health Record Encoders
par: Hegselmann, Stefan, et autres
Publié: (2025)

Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
par: Jiang, Peihai, et autres
Publié: (2025)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
par: Shi, Wenqi, et autres
Publié: (2024)

Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
par: Islam, K M Sajjadul, et autres
Publié: (2024)

UOR: Universal Backdoor Attacks on Pre-trained Language Models
par: Du, Wei, et autres
Publié: (2023)

When Emotion Becomes Trigger: Emotion-style dynamic Backdoor Attack Parasitising Large Language Models
par: Liu, Ziyu, et autres
Publié: (2026)

Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records
par: Park, Sangjoon, et autres
Publié: (2024)

Concept-Guided Backdoor Attack on Vision Language Models
par: Shen, Haoyu, et autres
Publié: (2025)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
par: Wang, Jiankun, et autres
Publié: (2024)

BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents
par: Feng, Yunhao, et autres
Publié: (2026)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
par: Zhao, Shuai, et autres
Publié: (2024)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
par: Zhao, Shuai, et autres
Publié: (2024)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
par: Wang, Zixiang, et autres
Publié: (2024)

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
par: Wen, Yuchen, et autres
Publié: (2024)

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish
par: Woldaregay, Ashenafi Zebene, et autres
Publié: (2025)

Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
par: Lee, Gyubok, et autres
Publié: (2024)

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
par: Kwon, Yeonsu, et autres
Publié: (2026)

mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
par: Edwards, Carl, et autres
Publié: (2025)

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
par: Lee, Gyubok, et autres
Publié: (2023)

Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
par: Pang, Lu, et autres
Publié: (2024)

OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters
par: Chen, Zexin, et autres
Publié: (2024)

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models
par: Ren, Weijieying, et autres
Publié: (2025)

ASCENDgpt: A Phenotype-Aware Transformer Model for Cardiovascular Risk Prediction from Electronic Health Records
par: Sainsbury, Chris, et autres
Publié: (2025)

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
par: Chung, Philip, et autres
Publié: (2025)

Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs
par: Beniwal, Himanshu, et autres
Publié: (2025)

MEGen: Generative Backdoor into Large Language Models via Model Editing
par: Qiu, Jiyang, et autres
Publié: (2024)

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
par: Xu, Ran, et autres
Publié: (2024)

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
par: Zhu, Yinghao, et autres
Publié: (2024)

PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models
par: Gupta, Shashi Kant, et autres
Publié: (2024)

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
par: Zhao, Shuai, et autres
Publié: (2024)