Imagen de Portada

AE of USENIX'26 #1002: Window-based Membership Inference Attacks Against Fine-tuned Large Language Models

Fuente: Zenodo

Guardado en:

Detalles Bibliográficos
Autor principal:	Chen, Yuetian
Formato:	Recurso digital
Publicado:	Zenodo 2025
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
por: Chen, Yuetian, et al.
Publicado: (2026)

Membership Inference Attacks Against Fine-tuned Diffusion Language Models
por: Chen, Yuetian, et al.
Publicado: (2026)

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

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
por: Zhang, Kaiyuan, et al.
Publicado: (2025)

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
por: Ran, Delong, et al.
Publicado: (2025)

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

Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration
por: Fu, Wenjie, et al.
Publicado: (2023)

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

SpadeMomo/SPAR-AE: SPAR Artifact for USENIX Security 2026
por: Ye, Hengdi
Publicado: (2026)

SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks
por: Amit, Guy, et al.
Publicado: (2024)

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

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

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble
por: Wang, Zhiqi, et al.
Publicado: (2025)

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

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

Membership Inference Attacks on Tokenizers of Large Language Models
por: Tong, Meng, et al.
Publicado: (2025)

Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion Models
por: Holme, Lauritz Christian, et al.
Publicado: (2025)

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

Membership Inference Attacks Against Time-Series Models
por: Koren, Noam, et al.
Publicado: (2024)

Membership Inference Attacks on Tokenizers of Large Language Models
por: Teng, Meng
Publicado: (2025)

Membership Inference Attacks against Large Vision-Language Models
por: Li, Zhan, et al.
Publicado: (2024)

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

Membership Inference Attack against Long-Context Large Language Models
por: Wang, Zixiong, et al.
Publicado: (2024)

VidLeaks: Membership Inference Attacks Against Text-to-Video Models
por: Wang, Li, et al.
Publicado: (2026)

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

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

Automatic Calibration for Membership Inference Attack on Large Language Models
por: Zade, Saleh Zare, et al.
Publicado: (2025)

Semantic Membership Inference Attack against Large Language Models
por: Mozaffari, Hamid, et al.
Publicado: (2024)

Do Membership Inference Attacks Work on Large Language Models?
por: Duan, Michael, et al.
Publicado: (2024)

Membership Inference Attacks against Large Audio Language Models
por: Dong, Jia-Kai, et al.
Publicado: (2026)

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

A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models
por: Chen, Bowen, et al.
Publicado: (2024)

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

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

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

Membership Inference Attacks on Discrete Diffusion Language Models
por: Kasivelrajan, Shailesh
Publicado: (2026)

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

Membership Inference Attacks on LLM-based Recommender Systems
por: He, Jiajie, et al.
Publicado: (2025)

Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
por: Lowy, Andrew, et al.
Publicado: (2024)

Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions
por: Du, Hao, et al.
Publicado: (2024)