Not only are membership inference attacks practical, cost-effective, and widely applicable in real-world scenarios, but recent advances in generative AI, particularly Large Language Models (LLMs), create novel challenges for membership privacy that…
Category: Training Data Extraction
A Brief Taxonomy Of AI Membership Inference Attacks
In the below taxonomy, membership inference attacks are categorized by: target model, adversarial knowledge, attack approach, training method, and target domain. Target Model The target model category of this membership inference attack…
A Brief Taxonomy Of AI Membership Inference Defenses
In the below taxonomy, membership inference defenses are categorized as confidence masking, regularization, differential privacy, or knowledge distillation. Confidence Masking Confidence masking in machine learning is a technique where predictions with low…