Topic
membership inference
Artificial Intelligence #ai#privacy
Neuro-Inspired Vision-Language Models Show Resilience to Membership Inference Privacy Leakage
A new study explores whether neuro-inspired multi-modal vision-language models (VLMs) are resilient to membership inference privacy attacks. Using topological regularization, the authors found that NEURO VLMs reduce MIA success by up to 24% without sacrificing model utility, offering a promising path for secure AI deployment.
Jun 17, 2026 1 source
Artificial Intelligence #ai ethics#membership inference
MINT Demo 2 Framework Detects Training Data in Vision-Language Models With 90% Accuracy
Researchers introduced MINT Demo 2, a framework to determine if specific data was used to train vision-language models. The system achieves up to 90% accuracy and includes a web platform for auditing multiple model types, aiming to improve AI transparency and regulatory compliance.
Jun 16, 2026 1 source