Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, Yujin, Park, Youngjoo, Byun, Junyoung, Lee, Jaewook, Park, Jinseong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training
by: Choi, Yujin, et al.
Published: (2024)

Multi-Class Support Vector Machine with Differential Privacy
by: Park, Jinseong, et al.
Published: (2025)

Fair Sampling in Diffusion Models through Switching Mechanism
by: Choi, Yujin, et al.
Published: (2024)

Improving the Utility of Differentially Private Clustering through Dynamical Processing
by: Byun, Junyoung, et al.
Published: (2023)

BayesNAM: Leveraging Inconsistency for Reliable Explanations
by: Kim, Hoki, et al.
Published: (2024)

Stability Analysis of Sharpness-Aware Minimization
by: Kim, Hoki, et al.
Published: (2023)

Membership Inference Attacks and Privacy in Topic Modeling
by: Manzonelli, Nico, et al.
Published: (2024)

TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation
by: Park, Jinseong, et al.
Published: (2024)

Conversational Query Reformulation with the Guidance of Retrieved Documents
by: Park, Jeonghyun, et al.
Published: (2024)

Membership Inference Attack against Long-Context Large Language Models
by: Wang, Zixiong, et al.
Published: (2024)

LCIRC: A Recurrent Compression Approach for Efficient Long-form Context and Query Dependent Modeling in LLMs
by: An, Sumin, et al.
Published: (2025)

Do Membership Inference Attacks Work on Large Language Models?
by: Duan, Michael, et al.
Published: (2024)

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

Machine Text Detectors are Membership Inference Attacks
by: Koike, Ryuto, et al.
Published: (2025)

Sampling-based Pseudo-Likelihood for Membership Inference Attacks
by: Kaneko, Masahiro, et al.
Published: (2024)

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models
by: Park, Gunho, et al.
Published: (2022)

Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
by: He, Yu, et al.
Published: (2025)

Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering
by: Byun, Grace, et al.
Published: (2025)

Membership Inference Attacks Against In-Context Learning
by: Wen, Rui, et al.
Published: (2024)

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
by: Nguyen, Khanh, et al.
Published: (2025)

From Ambiguity to Accuracy: The Transformative Effect of Coreference Resolution on Retrieval-Augmented Generation systems
by: Jang, Youngjoon, et al.
Published: (2025)

ReTAG: Retrieval-Enhanced, Topic-Augmented Graph-Based Global Sensemaking
by: Kim, Boyoung, et al.
Published: (2025)

Boundary-targeted Membership Inference Attacks on Safety Classifiers
by: Hughes, Anthony, et al.
Published: (2026)

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

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs
by: German, Eyal, et al.
Published: (2025)

Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
by: Choi, Eunseong, et al.
Published: (2025)

Assessing the Answerability of Queries in Retrieval-Augmented Code Generation
by: Kim, Geonmin, et al.
Published: (2024)

Machine Unlearning for Masked Diffusion Language Models
by: Lee, Georu, et al.
Published: (2026)

Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
by: Fu, Wenjie, et al.
Published: (2023)

Blind Baselines Beat Membership Inference Attacks for Foundation Models
by: Das, Debeshee, et al.
Published: (2024)

Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning
by: Lee, Gisang, et al.
Published: (2024)

CoME: An Unlearning-based Approach to Conflict-free Model Editing
by: Jung, Dahyun, et al.
Published: (2025)

Membership Inference on LLMs in the Wild
by: Yi, Jiatong, et al.
Published: (2026)

Are Self-Attentions Effective for Time Series Forecasting?
by: Kim, Dongbin, et al.
Published: (2024)

Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
by: Antebi, Sagiv, et al.
Published: (2025)

Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models
by: Park, Seong-Il, et al.
Published: (2024)

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
by: Hallinan, Skyler, et al.
Published: (2025)

Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
by: Kim, Sungkyung, et al.
Published: (2024)

Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)

STAR: Detecting Inference-time Backdoors in LLM Reasoning via State-Transition Amplification Ratio
by: Park, Seong-Gyu, et al.
Published: (2026)