DCMI: A Differential Calibration Membership Inference Attack Against Retrieval-Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Xinyu, Meng, Xiangtao, Dong, Yingkai, Li, Zheng, Guo, Shanqing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models
by: Dong, Yingkai, et al.
Published: (2024)
by: Dong, Yingkai, et al.
Published: (2024)
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024)
by: Shi, Haonan, et al.
Published: (2024)
Center-Based Relaxed Learning Against Membership Inference Attacks
by: Fang, Xingli, et al.
Published: (2024)
by: Fang, Xingli, et al.
Published: (2024)
Improved Membership Inference Attacks Against Language Classification Models
by: Shachor, Shlomit, et al.
Published: (2023)
by: Shachor, Shlomit, et al.
Published: (2023)
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
by: Anderson, Maya, et al.
Published: (2024)
by: Anderson, Maya, et al.
Published: (2024)
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
by: Chen, Wenyu, et al.
Published: (2026)
by: Chen, Wenyu, et al.
Published: (2026)
Membership Inference Attack with Partial Features
by: Wang, Xurun, et al.
Published: (2025)
by: Wang, Xurun, et al.
Published: (2025)
On Membership Inference Attacks in Knowledge Distillation
by: Cui, Ziyao, et al.
Published: (2025)
by: Cui, Ziyao, et al.
Published: (2025)
Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification
by: Meng, Xiangtao, et al.
Published: (2025)
by: Meng, Xiangtao, et al.
Published: (2025)
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024)
by: Li, Yuying, et al.
Published: (2024)
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
by: Lowy, Andrew, et al.
Published: (2024)
by: Lowy, Andrew, et al.
Published: (2024)
CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning
by: Chen, Depeng, et al.
Published: (2024)
by: Chen, Depeng, et al.
Published: (2024)
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
by: Naseh, Ali, et al.
Published: (2025)
by: Naseh, Ali, 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)
by: Ahamed, Sayyed Farid, et al.
Published: (2024)
Medusa: Cross-Modal Transferable Adversarial Attacks on Multimodal Medical Retrieval-Augmented Generation
by: Shang, Yingjia, et al.
Published: (2025)
by: Shang, Yingjia, et al.
Published: (2025)
Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)
by: Hu, Yuke, et al.
Published: (2025)
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)
by: Liu, Mingrui, et al.
Published: (2024)
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization
by: Rajabi, Arezoo, et al.
Published: (2024)
by: Rajabi, Arezoo, et al.
Published: (2024)
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)
by: Luo, Jiayi, et al.
Published: (2025)
Winning the MIDST Challenge: New Membership Inference Attacks on Diffusion Models for Tabular Data Synthesis
by: Wu, Xiaoyu, et al.
Published: (2025)
by: Wu, Xiaoyu, 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)
by: Zare, Mohammad, et al.
Published: (2026)
Ensembling Membership Inference Attacks Against Tabular Generative Models
by: Ward, Joshua, et al.
Published: (2025)
by: Ward, Joshua, et al.
Published: (2025)
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks
by: Tian, Huan, et al.
Published: (2023)
by: Tian, Huan, et al.
Published: (2023)
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
by: Du, Hao, et al.
Published: (2025)
by: Du, Hao, et al.
Published: (2025)
Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024)
by: Li, Jingwei, et al.
Published: (2024)
Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models
by: Guo, Qiming, et al.
Published: (2025)
by: Guo, Qiming, et al.
Published: (2025)
Rethinking Membership Inference Attacks Against Transfer Learning
by: Wu, Cong, et al.
Published: (2025)
by: Wu, Cong, et al.
Published: (2025)
Secure Aggregation is Not Private Against Membership Inference Attacks
by: Ngo, Khac-Hoang, et al.
Published: (2024)
by: Ngo, Khac-Hoang, et al.
Published: (2024)
Do Parameters Reveal More than Loss for Membership Inference?
by: Suri, Anshuman, et al.
Published: (2024)
by: Suri, Anshuman, et al.
Published: (2024)
Attack-Aware Noise Calibration for Differential Privacy
by: Kulynych, Bogdan, et al.
Published: (2024)
by: Kulynych, Bogdan, et al.
Published: (2024)
Membership Inference over Diffusion-models-based Synthetic Tabular Data
by: Cheng, Peini, et al.
Published: (2025)
by: Cheng, Peini, et al.
Published: (2025)
Hide in Plain Sight: Clean-Label Backdoor for Auditing Membership Inference
by: Chen, Depeng, et al.
Published: (2024)
by: Chen, Depeng, et al.
Published: (2024)
Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
by: Yao, Mengyu, et al.
Published: (2026)
by: Yao, Mengyu, et al.
Published: (2026)
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
by: Fu, Wenjie, et al.
Published: (2023)
by: Fu, Wenjie, et al.
Published: (2023)
MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training
by: Li, Jiacheng, et al.
Published: (2023)
by: Li, Jiacheng, et al.
Published: (2023)
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
by: Chang, Hongyan, et al.
Published: (2024)
by: Chang, Hongyan, et al.
Published: (2024)
Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
Membership Inference Attacks on LLM-based Recommender Systems
by: He, Jiajie, et al.
Published: (2025)
by: He, Jiajie, et al.
Published: (2025)
Attacks and Defenses Against LLM Fingerprinting
by: Kurian, Kevin, et al.
Published: (2025)
by: Kurian, Kevin, et al.
Published: (2025)
Membership Inference Attacks on Tokenizers of Large Language Models
by: Tong, Meng, et al.
Published: (2025)
by: Tong, Meng, et al.
Published: (2025)
Similar Items
-
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models
by: Dong, Yingkai, et al.
Published: (2024) -
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024) -
Center-Based Relaxed Learning Against Membership Inference Attacks
by: Fang, Xingli, et al.
Published: (2024) -
Improved Membership Inference Attacks Against Language Classification Models
by: Shachor, Shlomit, et al.
Published: (2023) -
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation
by: Anderson, Maya, et al.
Published: (2024)