membership inference attacks
- Black-Box Membership Inference Attack for LVLMs via Prior Knowledge-Calibrated Memory Probing
- Exploring the limits of strong membership inference attacks on large language models
- Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
- LOMIA: Label-Only Membership Inference Attacks against Pre-trained Large Vision-Language Models
- Permissioned LLMs: Enforcing Access Control in Large Language Models
- Practical Bayes-Optimal Membership Inference Attacks
- Vid-SME: Membership Inference Attacks against Large Video Understanding Models