Secure and trusted use method and system for large model based on confidential computing

Abstract

Provided is a secure and trusted use method and system for a large model based on confidential computing. In the method, a desensitization service party starts a service in a confidential computing environment; the confidential computing environment establishes a secure connection with a user terminal and the large model separately; the service receives, in the confidential computing environment, original data uploaded by the user terminal, and desensitizes the original data to obtain desensitized data; and the service sends the desensitized data to the large model based on the secure connection between the confidential computing environment and the large model. In this scheme, a third party is used to desensitize the data before utilizing the large model, and a targeted solution is provided to address the issue of third-party data leakage. Confidential computing is applied to the usage scenario of the large model, with the third-party service performing desensitization.