2026
DataGuard: A Non-intrusive Dataset Auditing Framework via Differential Information Forensics
ICML 2026poster
Concerns over dataset misuse in deep learning have highlighted the need for effective auditing. Unlike existing intrusive methods that require dataset modifications, which risk model performance and security, we present DataGuard, a non-intrusive framework for quantitative dataset auditing. Specific…