Runze Shi

LLMDPA: pre-execution privacy auditing of DP-SGD via evidence-constrained semantic analysis

Abstract Privacy auditing has emerged as a critical component for safeguarding data privacy in machine learning models. Existing empirical auditing methods heavily rely on model runtime states or post-deployment interfaces, resulting in substantial time costs and limited source-l...