Imagen de Portada

Blind Baselines Beat Membership Inference Attacks for Foundation Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Das, Debeshee, Zhang, Jie, Tramèr, Florian
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Computation and Language Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
por: Nguyen, Khanh, et al.
Publicado: (2025)

The Hidden Cost of Modeling P(X): Vulnerability to Membership Inference Attacks in Generative Text Classifiers
por: Makroo, Owais, et al.
Publicado: (2025)

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)
por: Meeus, Matthieu, et al.
Publicado: (2024)

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

Universal Jailbreak Backdoors from Poisoned Human Feedback
por: Rando, Javier, et al.
Publicado: (2023)

Context-Aware Membership Inference Attacks against Pre-trained Large Language Models
por: Chang, Hongyan, et al.
Publicado: (2024)

On the Effectiveness of Membership Inference in Targeted Data Extraction from Large Language Models
por: Sahili, Ali Al, et al.
Publicado: (2025)

Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
por: Meeus, Matthieu, et al.
Publicado: (2023)

Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection
por: Naseh, Ali, et al.
Publicado: (2025)

User Inference Attacks on Large Language Models
por: Kandpal, Nikhil, et al.
Publicado: (2023)

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

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

Evaluations of Machine Learning Privacy Defenses are Misleading
por: Aerni, Michael, et al.
Publicado: (2024)

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

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

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

Privacy Backdoors: Stealing Data with Corrupted Pretrained Models
por: Feng, Shanglun, et al.
Publicado: (2024)

Query-Based Adversarial Prompt Generation
por: Hayase, Jonathan, et al.
Publicado: (2024)

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)

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

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

An Adversarial Perspective on Machine Unlearning for AI Safety
por: Łucki, Jakub, et al.
Publicado: (2024)

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

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
por: Debenedetti, Edoardo, et al.
Publicado: (2024)

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

Laundering AI Authority with Adversarial Examples
por: Zhang, Jie, et al.
Publicado: (2026)

Adversarial ML Problems Are Getting Harder to Solve and to Evaluate
por: Rando, Javier, et al.
Publicado: (2025)

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
por: Rastogi, Saksham, et al.
Publicado: (2025)

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

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

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

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

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

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

Composite Backdoor Attacks Against Large Language Models
por: Huang, Hai, et al.
Publicado: (2023)

Adversarial Search Engine Optimization for Large Language Models
por: Nestaas, Fredrik, et al.
Publicado: (2024)