Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Jiayi, Sun, Qingyun, Wei, Yuecen, Yuan, Haonan, Fu, Xingcheng, Li, Jianxin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
by: Wei, Yuecen, et al.
Published: (2023)
by: Wei, Yuecen, et al.
Published: (2023)
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
by: Luo, Jiayi, et al.
Published: (2025)
by: Luo, Jiayi, et al.
Published: (2025)
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025)
by: Xue, Jing, et al.
Published: (2025)
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
by: Wen, Yuxin, et al.
Published: (2024)
by: Wen, Yuxin, et al.
Published: (2024)
The Sample Complexity of Membership Inference and Privacy Auditing
by: Haghifam, Mahdi, et al.
Published: (2025)
by: Haghifam, Mahdi, et al.
Published: (2025)
Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models
by: He, Yu, et al.
Published: (2025)
by: He, Yu, et al.
Published: (2025)
When Reasoning Leaks Membership: Membership Inference Attack on Black-box Large Reasoning Models
by: Hu, Ruihan, et al.
Published: (2026)
by: Hu, Ruihan, et al.
Published: (2026)
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference
by: Liu, Terrance, et al.
Published: (2025)
by: Liu, Terrance, et al.
Published: (2025)
Bayes-Nash Generative Privacy Against Membership Inference Attacks
by: Zhang, Tao, et al.
Published: (2024)
by: Zhang, Tao, et al.
Published: (2024)
Membership Inference Attacks and Privacy in Topic Modeling
by: Manzonelli, Nico, et al.
Published: (2024)
by: Manzonelli, Nico, et al.
Published: (2024)
Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set
by: Fu, Jie, et al.
Published: (2026)
by: Fu, Jie, et al.
Published: (2026)
Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
by: Fu, Haowei, et al.
Published: (2025)
by: Fu, Haowei, et al.
Published: (2025)
Membership Inference Attacks Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks
by: Shi, Haonan, et al.
Published: (2024)
by: Shi, Haonan, et al.
Published: (2024)
Membership Inference Attacks on Vision-Language-Action Models
by: Peng, Yuefeng, et al.
Published: (2026)
by: Peng, Yuefeng, et al.
Published: (2026)
Membership Inference for Contrastive Pre-training Models with Text-only PII Queries
by: Cheng, Ruoxi, et al.
Published: (2026)
by: Cheng, Ruoxi, et al.
Published: (2026)
Auditing Privacy Mechanisms via Label Inference Attacks
by: Busa-Fekete, Róbert István, et al.
Published: (2024)
by: Busa-Fekete, Róbert István, et al.
Published: (2024)
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)
Membership Inference Attacks on Sequence Models
by: Rossi, Lorenzo, et al.
Published: (2025)
by: Rossi, Lorenzo, et al.
Published: (2025)
A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks
by: Jebreel, Najeeb, et al.
Published: (2026)
by: Jebreel, Najeeb, et al.
Published: (2026)
Cascading and Proxy Membership Inference Attacks
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
White-box Membership Inference Attacks against Diffusion Models
by: Pang, Yan, et al.
Published: (2023)
by: Pang, Yan, et al.
Published: (2023)
On the Evidentiary Limits of Membership Inference for Copyright Auditing
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
by: Ertan, Murat Bilgehan, et al.
Published: (2026)
Imitative Membership Inference Attack
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
Membership Reference Attack against Laplace Mechanism of Differential Privacy
by: Huang, Wen
Published: (2024)
by: Huang, Wen
Published: (2024)
Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
by: Chen, Zeyuan, et al.
Published: (2026)
by: Chen, Zeyuan, et al.
Published: (2026)
VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attacks
by: Tsaprazlis, Efthymios, et al.
Published: (2025)
by: Tsaprazlis, Efthymios, et al.
Published: (2025)
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
by: Pang, Yan, et al.
Published: (2023)
by: Pang, Yan, et al.
Published: (2023)
Membership Inference Attacks Against Vision-Language Models
by: Hu, Yuke, et al.
Published: (2025)
by: Hu, Yuke, 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)
Membership Inference Attacks for Unseen Classes
by: Thaker, Pratiksha, et al.
Published: (2025)
by: Thaker, Pratiksha, et al.
Published: (2025)
Membership Inference Attacks Beyond Overfitting
by: Khalil, Mona, et al.
Published: (2025)
by: Khalil, Mona, et al.
Published: (2025)
Membership Inference Attacks and Defenses in Federated Learning: A Survey
by: Bai, Li, et al.
Published: (2024)
by: Bai, Li, et al.
Published: (2024)
Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power
by: Wang, Shiming, et al.
Published: (2024)
by: Wang, Shiming, et al.
Published: (2024)
P-MIA: A Profiled-Based Membership Inference Attack on Cognitive Diagnosis Models
by: Hou, Mingliang, et al.
Published: (2025)
by: Hou, Mingliang, et al.
Published: (2025)
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
by: Liu, Zhenlong, et al.
Published: (2024)
by: Liu, Zhenlong, et al.
Published: (2024)
Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
by: Zafar, Osama, et al.
Published: (2026)
by: Zafar, Osama, et al.
Published: (2026)
Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks
by: Tsiolakis, Theodoros, et al.
Published: (2025)
by: Tsiolakis, Theodoros, et al.
Published: (2025)
Membership Inference Attacks on Large-Scale Models: A Survey
by: Wu, Hengyu, et al.
Published: (2025)
by: Wu, Hengyu, et al.
Published: (2025)
Ensembling Membership Inference Attacks Against Tabular Generative Models
by: Ward, Joshua, et al.
Published: (2025)
by: Ward, Joshua, et al.
Published: (2025)
Similar Items
-
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
by: Wei, Yuecen, et al.
Published: (2023) -
Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
by: Luo, Jiayi, et al.
Published: (2025) -
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025) -
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
by: Wen, Yuxin, et al.
Published: (2024) -
The Sample Complexity of Membership Inference and Privacy Auditing
by: Haghifam, Mahdi, et al.
Published: (2025)