Imagen de Portada

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zafar, Osama, Zhan, Shaojie, Ji, Tianxi, Ayday, Erman
Formato:	Preprint
Publicado:	2026
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

PROVGEN: A Privacy-Preserving Approach for Outcome Validation in Genomic Research
por: Jiang, Yuzhou, et al.
Publicado: (2022)

The End of Trust: How Agentic AI Breaks Security Assumptions
por: Zafar, Osama, et al.
Publicado: (2026)

LoMime: Query-Efficient Membership Inference using Model Extraction in Label-Only Settings
por: Oksuz, Abdullah Caglar, et al.
Publicado: (2026)

Exploring Membership Inference Vulnerabilities in Clinical Large Language Models
por: Nemecek, Alexander, et al.
Publicado: (2025)

Membership Inference Attacks and Defenses in Federated Learning: A Survey
por: Bai, Li, et al.
Publicado: (2024)

Membership Inference Attacks Against Vision-Language Models
por: Hu, Yuke, et al.
Publicado: (2025)

A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
por: Zafar, Osama, et al.
Publicado: (2025)

Cluster-Aware Attacks on Graph Watermarks
por: Nemecek, Alexander, et al.
Publicado: (2025)

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
por: Zafar, Osama, et al.
Publicado: (2025)

Evaluating the Defense Potential of Machine Unlearning against Membership Inference Attacks
por: Tsiolakis, Theodoros, et al.
Publicado: (2025)

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

Membership Inference Attacks Against Video Large Language Models
por: Song, Wei, et al.
Publicado: (2026)

Bayes-Nash Generative Privacy Against Membership Inference Attacks
por: Zhang, Tao, et al.
Publicado: (2024)

Rethinking Membership Inference Attacks Against Transfer Learning
por: Wu, Cong, et al.
Publicado: (2025)

Secure Aggregation is Not Private Against Membership Inference Attacks
por: Ngo, Khac-Hoang, et al.
Publicado: (2024)

Validating GWAS Findings through Reverse Engineering of Contingency Tables
por: Jiang, Yuzhou, et al.
Publicado: (2024)

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
por: Chen, Zeyuan, et al.
Publicado: (2026)

Privacy-Preserving Data Linkage Across Private and Public Datasets for Collaborative Agriculture Research
por: Zafar, Osama, et al.
Publicado: (2024)

Ensembling Membership Inference Attacks Against Tabular Generative Models
por: Ward, Joshua, et al.
Publicado: (2025)

Dynamic Probabilistic Noise Injection for Membership Inference Defense
por: Forough, Javad, et al.
Publicado: (2025)

MIST: Defending Against Membership Inference Attacks Through Membership-Invariant Subspace Training
por: Li, Jiacheng, et al.
Publicado: (2023)

Privacy-Preserving AI-Enabled Decentralized Learning and Employment Records System
por: Xu, Yuqiao, et al.
Publicado: (2026)

Digital Agriculture Sandbox for Collaborative Research
por: Zafar, Osama, et al.
Publicado: (2025)

Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering
por: Ghasemian, Maryam, et al.
Publicado: (2024)

Ensemble Privacy Defense for Knowledge-Intensive LLMs against Membership Inference Attacks
por: Fu, Haowei, et al.
Publicado: (2025)

Membership Inference Attack Against Masked Image Modeling
por: Li, Zheng, et al.
Publicado: (2024)

AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
por: Oksuz, Abdullah Caglar, et al.
Publicado: (2023)

Imitative Membership Inference Attack
por: Du, Yuntao, et al.
Publicado: (2025)

Watermarking Without Standards Is Not AI Governance
por: Nemecek, Alexander, et al.
Publicado: (2025)

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking
por: Nemecek, Alexander, et al.
Publicado: (2026)

Membership Inference Attacks on Vision-Language-Action Models
por: Peng, Yuefeng, et al.
Publicado: (2026)

United We Defend: Collaborative Membership Inference Defenses in Federated Learning
por: Bai, Li, et al.
Publicado: (2026)

Center-Based Relaxed Learning Against Membership Inference Attacks
por: Fang, Xingli, et al.
Publicado: (2024)

Improved Membership Inference Attacks Against Language Classification Models
por: Shachor, Shlomit, et al.
Publicado: (2023)

Membership Inference Attacks on Sequence Models
por: Rossi, Lorenzo, et al.
Publicado: (2025)

Membership Inference Attacks for Unseen Classes
por: Thaker, Pratiksha, et al.
Publicado: (2025)

Membership Inference Attacks Beyond Overfitting
por: Khalil, Mona, et al.
Publicado: (2025)

Cascading and Proxy Membership Inference Attacks
por: Du, Yuntao, et al.
Publicado: (2025)

White-box Membership Inference Attacks against Diffusion Models
por: Pang, Yan, et al.
Publicado: (2023)

Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack
por: Xue, Jing, et al.
Publicado: (2025)