Cloud-based model training presents significant privacy challenges, as users must upload personal data for training high-performance models. Once uploaded, this data goes beyond the user's control and could be misused for other purposes. Users need tools to control the usage scope of the uploaded training data, preventing unauthorized training without compromising authorized training. Unfortunately, existing solutions overlook this issue.