Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Chang, Hongyan, Shamsabadi, Ali Shahin, Katevas, Kleomenis, Haddadi, Hamed, Shokri, Reza |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
par: He, Yu, et autres
Publié: (2025)
par: He, Yu, et autres
Publié: (2025)
Privacy Practices of Browser Agents
par: Ukani, Alisha, et autres
Publié: (2025)
par: Ukani, Alisha, et autres
Publié: (2025)
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation
par: Romijnders, Rob, et autres
Publié: (2025)
par: Romijnders, Rob, et autres
Publié: (2025)
Dynamic Probabilistic Noise Injection for Membership Inference Defense
par: Forough, Javad, et autres
Publié: (2025)
par: Forough, Javad, et autres
Publié: (2025)
Nebula: Efficient, Private and Accurate Histogram Estimation
par: Shamsabadi, Ali Shahin, et autres
Publié: (2024)
par: Shamsabadi, Ali Shahin, et autres
Publié: (2024)
Low-Cost High-Power Membership Inference Attacks
par: Zarifzadeh, Sajjad, et autres
Publié: (2023)
par: Zarifzadeh, Sajjad, et autres
Publié: (2023)
AgentStop: Terminating Local AI Agents Early to Save Energy in Consumer Devices
par: Pham, Dzung, et autres
Publié: (2026)
par: Pham, Dzung, et autres
Publié: (2026)
Membership Inference Attacks Against In-Context Learning
par: Wen, Rui, et autres
Publié: (2024)
par: Wen, Rui, et autres
Publié: (2024)
Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
par: Fu, Wenjie, et autres
Publié: (2023)
par: Fu, Wenjie, et autres
Publié: (2023)
Membership Inference Attacks against Large Vision-Language Models
par: Li, Zhan, et autres
Publié: (2024)
par: Li, Zhan, et autres
Publié: (2024)
Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
par: Antebi, Sagiv, et autres
Publié: (2025)
par: Antebi, Sagiv, et autres
Publié: (2025)
On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models
par: Sahili, Ali Al, et autres
Publié: (2025)
par: Sahili, Ali Al, et autres
Publié: (2025)
Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
par: Chen, Yuetian, et autres
Publié: (2026)
par: Chen, Yuetian, et autres
Publié: (2026)
DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
par: Nguyen, Khanh, et autres
Publié: (2025)
par: Nguyen, Khanh, et autres
Publié: (2025)
Membership Inference Attacks and Privacy in Topic Modeling
par: Manzonelli, Nico, et autres
Publié: (2024)
par: Manzonelli, Nico, et autres
Publié: (2024)
Membership Inference Attacks Against Video Large Language Models
par: Song, Wei, et autres
Publié: (2026)
par: Song, Wei, et autres
Publié: (2026)
White-box Membership Inference Attacks against Diffusion Models
par: Pang, Yan, et autres
Publié: (2023)
par: Pang, Yan, et autres
Publié: (2023)
Denial-of-Service Poisoning Attacks against Large Language Models
par: Gao, Kuofeng, et autres
Publié: (2024)
par: Gao, Kuofeng, et autres
Publié: (2024)
Blind Baselines Beat Membership Inference Attacks for Foundation Models
par: Das, Debeshee, et autres
Publié: (2024)
par: Das, Debeshee, et autres
Publié: (2024)
Membership Inference Attacks on Tokenizers of Large Language Models
par: Tong, Meng, et autres
Publié: (2025)
par: Tong, Meng, et autres
Publié: (2025)
UOR: Universal Backdoor Attacks on Pre-trained Language Models
par: Du, Wei, et autres
Publié: (2023)
par: Du, Wei, et autres
Publié: (2023)
What Hard Tokens Reveal: Exploiting Low-confidence Tokens for Membership Inference Attacks against Large Language Models
par: Jawad, Md Tasnim, et autres
Publié: (2026)
par: Jawad, Md Tasnim, et autres
Publié: (2026)
Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs
par: German, Eyal, et autres
Publié: (2025)
par: German, Eyal, et autres
Publié: (2025)
Membership Inference Attacks on Vision-Language-Action Models
par: Peng, Yuefeng, et autres
Publié: (2026)
par: Peng, Yuefeng, et autres
Publié: (2026)
Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
par: Chen, Zeyuan, et autres
Publié: (2026)
par: Chen, Zeyuan, et autres
Publié: (2026)
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
par: Pang, Yan, et autres
Publié: (2023)
par: Pang, Yan, et autres
Publié: (2023)
LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
par: Ran, Delong, et autres
Publié: (2025)
par: Ran, Delong, et autres
Publié: (2025)
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
par: Wang, Zihan, et autres
Publié: (2025)
par: Wang, Zihan, et autres
Publié: (2025)
User Inference Attacks on Large Language Models
par: Kandpal, Nikhil, et autres
Publié: (2023)
par: Kandpal, Nikhil, et autres
Publié: (2023)
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
par: Wu, Zongyu, et autres
Publié: (2025)
par: Wu, Zongyu, et autres
Publié: (2025)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
par: Hu, Ruihan, et autres
Publié: (2026)
par: Hu, Ruihan, et autres
Publié: (2026)
Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks
par: Tsiolakis, Theodoros, et autres
Publié: (2025)
par: Tsiolakis, Theodoros, et autres
Publié: (2025)
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
par: Meeus, Matthieu, et autres
Publié: (2023)
par: Meeus, Matthieu, et autres
Publié: (2023)
DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack
par: Li, Hao, et autres
Publié: (2025)
par: Li, Hao, et autres
Publié: (2025)
REAL-IoT: Characterizing GNN Intrusion Detection Robustness under Practical Adversarial Attack
par: Zhan, Zhonghao, et autres
Publié: (2025)
par: Zhan, Zhonghao, et autres
Publié: (2025)
The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers
par: Makroo, Owais, et autres
Publié: (2025)
par: Makroo, Owais, et autres
Publié: (2025)
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)
par: Meeus, Matthieu, et autres
Publié: (2024)
par: Meeus, Matthieu, et autres
Publié: (2024)
Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
par: Luo, Jiayi, et autres
Publié: (2025)
par: Luo, Jiayi, et autres
Publié: (2025)
EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling
par: Song, Zichen, et autres
Publié: (2024)
par: Song, Zichen, et autres
Publié: (2024)
Fast-MIA: Efficient and Scalable Membership Inference for LLMs
par: Takahashi, Hiromu, et autres
Publié: (2025)
par: Takahashi, Hiromu, et autres
Publié: (2025)
Documents similaires
-
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
par: He, Yu, et autres
Publié: (2025) -
Privacy Practices of Browser Agents
par: Ukani, Alisha, et autres
Publié: (2025) -
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation
par: Romijnders, Rob, et autres
Publié: (2025) -
Dynamic Probabilistic Noise Injection for Membership Inference Defense
par: Forough, Javad, et autres
Publié: (2025) -
Nebula: Efficient, Private and Accurate Histogram Estimation
par: Shamsabadi, Ali Shahin, et autres
Publié: (2024)