:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tong, Ziyi, Sun, Feifei, Nguyen, Le Minh
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	https://arxiv.org/abs/2512.03121
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
by: Nguyen, Quan, et al.
Published: (2025)

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

Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks
by: Al-Lawati, Ali, et al.
Published: (2026)

LUMIA: Linear probing for Unimodal and MultiModal Membership Inference Attacks leveraging internal LLM states
by: Ibanez-Lissen, Luis, et al.
Published: (2024)

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

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

Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images
by: Duong, Anh-Kiet, et al.
Published: (2026)

Membership Inference Attack with Partial Features
by: Wang, Xurun, et al.
Published: (2025)

On Membership Inference Attacks in Knowledge Distillation
by: Cui, Ziyao, et al.
Published: (2025)

Center-Based Relaxed Learning Against Membership Inference Attacks
by: Fang, Xingli, et al.
Published: (2024)

Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024)

Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
by: Nemecek, Alexander, et al.
Published: (2025)

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

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

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

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

Bidirectional Intention Inference Enhances LLMs' Defense Against Multi-Turn Jailbreak Attacks
by: Tong, Haibo, et al.
Published: (2025)

MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data
by: German, Eyal, et al.
Published: (2025)

Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
by: Fu, Haowei, et al.
Published: (2025)

Membership Inference Attacks on Recommender System: A Survey
by: He, Jiajie, et al.
Published: (2025)

Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)

Res-MIA: A Training-Free Resolution-Based Membership Inference Attack on Federated Learning Models
by: Zare, Mohammad, et al.
Published: (2026)

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
by: Zhang, Kaiyuan, et al.
Published: (2025)

Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
by: Yin, Jinhua, et al.
Published: (2025)

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)

CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning
by: Chen, Depeng, et al.
Published: (2024)

E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
by: Guan, Zelin, et al.
Published: (2026)

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
by: Levin, Roman, 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 fueled by Few-Short Learning to detect privacy leakage tackling data integrity
by: Jiménez-López, Daniel, et al.
Published: (2025)

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications
by: Tong, Ziyi, et al.
Published: (2026)

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

Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
by: Wu, Xiaoyu, et al.
Published: (2025)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2024)

A Method to Facilitate Membership Inference Attacks in Deep Learning Models
by: Chen, Zitao, et al.
Published: (2024)

Multi-turn Jailbreaking Attack in Multi-Modal Large Language Models
by: Das, Badhan Chandra, et al.
Published: (2026)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
by: Ran, Delong, et al.
Published: (2025)

Membership Inference Attacks against Large Vision-Language Models
by: Li, Zhan, et al.
Published: (2024)