Cover Image

Cascading and Proxy Membership Inference Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Yuntao, Li, Jiacheng, Chen, Yuetian, Zhang, Kaiyuan, Yuan, Zhizhen, Xiao, Hanshen, Ribeiro, Bruno, Li, Ninghui
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Imitative Membership Inference Attack
by: Du, Yuntao, et al.
Published: (2025)

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

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

Systematic Assessment of Tabular Data Synthesis
by: Du, Yuntao, et al.
Published: (2024)

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

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

Automated Profile Inference with Language Model Agents
by: Du, Yuntao, et al.
Published: (2025)

AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
by: Du, Yuntao, et al.
Published: (2026)

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

Beyond Data Privacy: New Privacy Risks for Large Language Models
by: Du, Yuntao, et al.
Published: (2025)

CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
by: Zhang, Kaiyuan, et al.
Published: (2025)

SeqMIA: Sequential-Metric Based Membership Inference Attack
by: Li, Hao, et al.
Published: (2024)

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

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

Membership Inference Attacks Beyond Overfitting
by: Khalil, Mona, et al.
Published: (2025)

MRMMIA: Membership Inference Attacks on Memory in Chat Agents
by: Chen, Kai, et al.
Published: (2026)

Membership Inference Attack with Partial Features
by: Wang, Xurun, et al.
Published: (2025)

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

Practical Bayes-Optimal Membership Inference Attacks
by: Lassila, Marcus, et al.
Published: (2025)

Security Considerations for Artificial Intelligence Agents
by: Li, Ninghui, et al.
Published: (2026)

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
by: Zhu, Gongxi, et al.
Published: (2024)

Low-Cost High-Power Membership Inference Attacks
by: Zarifzadeh, Sajjad, et al.
Published: (2023)

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

On Membership Inference Attacks in Knowledge Distillation
by: Cui, Ziyao, et al.
Published: (2025)

CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learning
by: Chen, Depeng, et al.
Published: (2024)

Automated Membership Inference Attacks: Discovering MIA Signal Computations using LLM Agents
by: Tran, Toan, et al.
Published: (2026)

Sequential Membership Inference Attacks
by: Michel, Thomas, et al.
Published: (2026)

Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
by: Lian, Puwei, et al.
Published: (2025)

Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise
by: Lian, Puwei, et al.
Published: (2026)

Membership Inference Attacks on Large-Scale Models: A Survey
by: Wu, Hengyu, et al.
Published: (2025)

Empirical Comparison of Membership Inference Attacks in Deep Transfer Learning
by: Bai, Yuxuan, et al.
Published: (2025)

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

OSLO: One-Shot Label-Only Membership Inference Attacks
by: Peng, Yuefeng, et al.
Published: (2024)

Membership Inference Attacks and Privacy in Topic Modeling
by: Manzonelli, Nico, et al.
Published: (2024)

Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
by: Zhang, Jie, et al.
Published: (2024)

Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions
by: Jebreel, Najeeb, et al.
Published: (2026)

A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks
by: Jebreel, Najeeb, et al.
Published: (2026)

A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data
by: Guan, Vincent, et al.
Published: (2024)

Membership Inference Attacks for Retrieval Based In-Context Learning for Document Question Answering
by: Kulkarni, Tejas, et al.
Published: (2026)

Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)