Xingquan Guo

Differentially private multimodal in-context learning via adaptive semantic manifold synthesis in large foundation models

Abstract Multimodal foundation models excel at in-context learning (ICL) but heavily rely on high-quality demonstrations. Using raw sensitive data for ICL in domains like healthcare and smart grids poses severe privacy risks. Furthermore, traditional differential privacy (DP) fin...