Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity
Fuente:
arXiv
Saved in:
| Main Authors: | Jiménez-López, Daniel, Rodríguez-Barroso, Nuria, Luzón, M. Victoria, Herrera, Francisco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RAB$^2$-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients
by: Rodríguez-Barroso, Nuria, et al.
Published: (2024)
by: Rodríguez-Barroso, Nuria, et al.
Published: (2024)
Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning
by: García-Márquez, Mario, et al.
Published: (2026)
by: García-Márquez, Mario, et al.
Published: (2026)
FLEX: FLEXible Federated Learning Framework
by: Herrera, Francisco, et al.
Published: (2024)
by: Herrera, Francisco, et al.
Published: (2024)
Membership Inference Attacks and Defenses in Federated Learning: A Survey
by: Bai, Li, et al.
Published: (2024)
by: Bai, Li, et al.
Published: (2024)
Membership Inference Attacks Against In-Context Learning
by: Wen, Rui, et al.
Published: (2024)
by: Wen, Rui, et al.
Published: (2024)
Imitative Membership Inference Attack
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
Membership Inference Attacks on Vision-Language-Action Models
by: Peng, Yuefeng, et al.
Published: (2026)
by: Peng, Yuefeng, et al.
Published: (2026)
A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance
by: Lee, Gijung, et al.
Published: (2026)
by: Lee, Gijung, et al.
Published: (2026)
Rethinking Membership Inference Attacks Against Transfer Learning
by: Wu, Cong, et al.
Published: (2025)
by: Wu, Cong, 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)
Membership Inference Attacks on Sequence Models
by: Rossi, Lorenzo, et al.
Published: (2025)
by: Rossi, Lorenzo, 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)
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)
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 Against Video Large Language Models
by: Song, Wei, et al.
Published: (2026)
by: Song, Wei, et al.
Published: (2026)
Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
by: Xue, Jing, et al.
Published: (2025)
by: Xue, Jing, et al.
Published: (2025)
Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
by: Bai, Yuxuan, et al.
Published: (2025)
by: Bai, Yuxuan, et al.
Published: (2025)
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)
Practical Bayes-Optimal Membership Inference Attacks
by: Lassila, Marcus, et al.
Published: (2025)
by: Lassila, Marcus, et al.
Published: (2025)
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)
Sequential Membership Inference Attacks
by: Michel, Thomas, et al.
Published: (2026)
by: Michel, Thomas, et al.
Published: (2026)
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
by: Pang, Yan, et al.
Published: (2023)
by: Pang, Yan, 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)
MRMMIA: Membership Inference Attacks on Memory in Chat Agents
by: Chen, Kai, et al.
Published: (2026)
by: Chen, Kai, et al.
Published: (2026)
Low-Cost High-Power Membership Inference Attacks
by: Zarifzadeh, Sajjad, et al.
Published: (2023)
by: Zarifzadeh, Sajjad, 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)
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)
MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data
by: German, Eyal, et al.
Published: (2025)
by: German, Eyal, et al.
Published: (2025)
Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates
by: Liu, Yuhan, et al.
Published: (2024)
by: Liu, Yuhan, et al.
Published: (2024)
Reference Recommendation based Membership Inference Attack against Hybrid-based Recommender Systems
by: Chi, Xiaoxiao, et al.
Published: (2025)
by: Chi, Xiaoxiao, et al.
Published: (2025)
Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
by: He, Yu, et al.
Published: (2024)
by: He, Yu, et al.
Published: (2024)
Membership Inference Attacks for Retrieval Based In-Context Learning for Document Question Answering
by: Kulkarni, Tejas, et al.
Published: (2026)
by: Kulkarni, Tejas, 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)
Evaluating Membership Inference Attacks in heterogeneous-data setups
by: van Dartel, Bram, et al.
Published: (2025)
by: van Dartel, Bram, 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)
Similar Items
-
RAB$^2$-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients
by: Rodríguez-Barroso, Nuria, et al.
Published: (2024) -
Resilient Federated Chain: Transforming Blockchain Consensus into an Active Defense Layer for Federated Learning
by: García-Márquez, Mario, et al.
Published: (2026) -
FLEX: FLEXible Federated Learning Framework
by: Herrera, Francisco, et al.
Published: (2024) -
Membership Inference Attacks and Defenses in Federated Learning: A Survey
by: Bai, Li, et al.
Published: (2024) -
Membership Inference Attacks Against In-Context Learning
by: Wen, Rui, et al.
Published: (2024)