Abstract: A method applied to an equipment for improving confidentiality protection of neural network model is provided. An operating system of the equipment may comprise a framework and a hardware abstraction layer (HAL), and the method may comprise: before a source model in an application (app) is executed, by a processor of the equipment, modifying the source model to form a modified model by running a modification subroutine associated with the app, and causing the framework to accept the modified model, instead of the source model, as the model to be executed, so the framework instructs the HAL to prepare execution of the modified model.