Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lyu, Weimin, Bi, Zexin, Wang, Fusheng, Chen, Chao
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models to Identify Social Determinants of Health in Electronic Health Records
by: Guevara, Marco, et al.
Published: (2023)

BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
by: Wang, Yifei, et al.
Published: (2024)

CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records
by: Li, Dongchen, et al.
Published: (2025)

BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
by: Tong, Terry, et al.
Published: (2025)

Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review
by: Bilal, Muhammad, et al.
Published: (2024)

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
by: Luo, Zhimeng, et al.
Published: (2025)

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
by: Zhao, Shuai, et al.
Published: (2023)

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data
by: Zhu, Yinghao, et al.
Published: (2024)

Generative Foundation Model for Structured and Unstructured Electronic Health Records
by: Sivarajkumar, Sonish, et al.
Published: (2025)

Integrating Large Language Models with Human Expertise for Disease Detection in Electronic Health Records
by: Pan, Jie, et al.
Published: (2025)

Large Language Models are Powerful Electronic Health Record Encoders
by: Hegselmann, Stefan, et al.
Published: (2025)

Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
by: Jiang, Peihai, et al.
Published: (2025)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
by: Shi, Wenqi, et al.
Published: (2024)

Autocompletion of Chief Complaints in the Electronic Health Records using Large Language Models
by: Islam, K M Sajjadul, et al.
Published: (2024)

UOR: Universal Backdoor Attacks on Pre-trained Language Models
by: Du, Wei, et al.
Published: (2023)

When Emotion Becomes Trigger: Emotion-style dynamic Backdoor Attack Parasitising Large Language Models
by: Liu, Ziyu, et al.
Published: (2026)

Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records
by: Park, Sangjoon, et al.
Published: (2024)

Concept-Guided Backdoor Attack on Vision Language Models
by: Shen, Haoyu, et al.
Published: (2025)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
by: Wang, Jiankun, et al.
Published: (2024)

BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents
by: Feng, Yunhao, et al.
Published: (2026)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
by: Zhao, Shuai, et al.
Published: (2024)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
by: Zhao, Shuai, et al.
Published: (2024)

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration
by: Wang, Zixiang, et al.
Published: (2024)

Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
by: Wen, Yuchen, et al.
Published: (2024)

Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish
by: Woldaregay, Ashenafi Zebene, et al.
Published: (2025)

Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
by: Lee, Gyubok, et al.
Published: (2024)

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
by: Kwon, Yeonsu, et al.
Published: (2026)

mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules
by: Edwards, Carl, et al.
Published: (2025)

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
by: Lee, Gyubok, et al.
Published: (2023)

Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations
by: Pang, Lu, et al.
Published: (2024)

OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters
by: Chen, Zexin, et al.
Published: (2024)

A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models
by: Ren, Weijieying, et al.
Published: (2025)

ASCENDgpt: A Phenotype-Aware Transformer Model for Cardiovascular Risk Prediction from Electronic Health Records
by: Sainsbury, Chris, et al.
Published: (2025)

VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records
by: Chung, Philip, et al.
Published: (2025)

Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs
by: Beniwal, Himanshu, et al.
Published: (2025)

MEGen: Generative Backdoor into Large Language Models via Model Editing
by: Qiu, Jiyang, et al.
Published: (2024)

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
by: Xu, Ran, et al.
Published: (2024)

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation
by: Zhu, Yinghao, et al.
Published: (2024)

PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models
by: Gupta, Shashi Kant, et al.
Published: (2024)

Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
by: Zhao, Shuai, et al.
Published: (2024)