Method, electronic device, and computer program product for watermark processing

An electronic device, comprising:

• at least one processor;
• and
• a memory coupled to the at least one processor and having instructions stored therein, wherein the instructions, when executed by the at least one processor, cause the electronic device to perform actions comprising:
• embedding a parameter component watermark into a first parameter of a neural network model to generate a second parameter of the neural network model;
• embedding an input component watermark into a first input to the neural network model to generate a second input to the neural network model;
• embedding a gradient component watermark into a first model gradient of the neural network model to generate a second model gradient of the neural network model;
• and
• training the neural network model based on the second parameter, the second input, and the second model gradient to generate a trained neural network model.

A computer program product, the computer program product being tangibly stored on a non-transitory computer-readable medium and comprising machine-executable instructions, wherein the machine-executable instructions, when executed by a machine, cause the machine to perform actions comprising:

• embedding a parameter component watermark into a first parameter of a neural network model to generate a second parameter of the neural network model;
• embedding an input component watermark into a first input to the neural network model to generate a second input to the neural network model;
• embedding a gradient component watermark into a first model gradient of the neural network model to generate a second model gradient of the neural network model;
• and
• training the neural network model based on the second parameter, the second input, and the second model gradient to generate a trained neural network model.