Cover Image

Exploring Membership Inference Vulnerabilities in Clinical Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nemecek, Alexander, Yun, Zebin, Rahmani, Zahra, Harel, Yaniv, Chaudhary, Vipin, Sharif, Mahmood, Ayday, Erman
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Privacy-Preserving Collaborative Genomic Research: A Real-Life Deployment and Vision
by: Rahmani, Zahra, et al.
Published: (2024)

ZKPROV: A Zero-Knowledge Approach to Dataset Provenance for Large Language Models
by: Namazi, Mina, et al.
Published: (2025)

The End of Trust: How Agentic AI Breaks Security Assumptions
by: Zafar, Osama, et al.
Published: (2026)

The Feasibility of Topic-Based Watermarking on Academic Peer Reviews
by: Nemecek, Alexander, et al.
Published: (2025)

Topic-Based Watermarks for Large Language Models
by: Nemecek, Alexander, et al.
Published: (2024)

Watermarking Without Standards Is Not AI Governance
by: Nemecek, Alexander, et al.
Published: (2025)

Cluster-Aware Attacks on Graph Watermarks
by: Nemecek, Alexander, et al.
Published: (2025)

Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation
by: Zafar, Osama, et al.
Published: (2026)

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
by: Zafar, Osama, et al.
Published: (2026)

Quantifying Memorization and Privacy Risks in Genomic Language Models
by: Nemecek, Alexander, et al.
Published: (2026)

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings
by: Oksuz, Abdullah Caglar, et al.
Published: (2026)

Authenticated Contradictions from Desynchronized Provenance and Watermarking
by: Nemecek, Alexander, et al.
Published: (2026)

Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)

Validating GWAS Findings through Reverse Engineering of Contingency Tables
by: Jiang, Yuzhou, et al.
Published: (2024)

Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering
by: Ghasemian, Maryam, et al.
Published: (2024)

On the Evidentiary Limits of Membership Inference for Copyright Auditing
by: Ertan, Murat Bilgehan, et al.
Published: (2026)

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
by: Nemecek, Alexander, et al.
Published: (2026)

PROVGEN: A Privacy-Preserving Approach for Outcome Validation in Genomic Research
by: Jiang, Yuzhou, et al.
Published: (2022)

GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search
by: Ben-Tov, Matan, et al.
Published: (2024)

Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
by: Levin, Roman, et al.
Published: (2025)

AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
by: Oksuz, Abdullah Caglar, et al.
Published: (2023)

Privacy-Preserving AI-Enabled Decentralized Learning and Employment Records System
by: Xu, Yuqiao, et al.
Published: (2026)

Win-k: Improved Membership Inference Attacks on Small Language Models
by: Arkhmammadova, Roya, et al.
Published: (2025)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
by: Chen, Yuetian, et al.
Published: (2026)

Lost in Modality: Evaluating the Effectiveness of Text-Based Membership Inference Attacks on Large Multimodal Models
by: Tong, Ziyi, et al.
Published: (2025)

LLMAC: A Global and Explainable Access Control Framework with Large Language Model
by: Zisad, Sharif Noor, et al.
Published: (2026)

Membership Inference Attacks Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)

Improved Membership Inference Attacks Against Language Classification Models
by: Shachor, Shlomit, et al.
Published: (2023)

Biologically-Informed Hybrid Membership Inference Attacks on Generative Genomic Models
by: Belfiore, Asia, et al.
Published: (2025)

Evaluating Adversarial Vulnerabilities in Modern Large Language Models
by: Perel, Tom
Published: (2025)

Membership Inference for Contrastive Pre-training Models with Text-only PII Queries
by: Cheng, Ruoxi, et al.
Published: (2026)

On Reliability of Efficient Membership Inference Vulnerability Evaluation
by: Jälkö, Joonas, et al.
Published: (2026)

SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks
by: Amit, Guy, et al.
Published: (2024)

P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models
by: Hou, Mingliang, et al.
Published: (2025)

Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
by: Chang, Hongyan, et al.
Published: (2024)

Membership Inference Attacks on Vision-Language-Action Models
by: Peng, Yuefeng, et al.
Published: (2026)

Unvalidated Trust: Cross-Stage Vulnerabilities in Large Language Model Architectures
by: Schwarz, Dominik
Published: (2025)

When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)

Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024)