Patent ID: 11941721
Assignee: ALIBABA GROUP HOLDING LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. The method according to claim 1, wherein updating the weight information of the target neural network model according to the target watermark embedded data provided by the embedded neural network model to obtain the target neural network model embedded with the target watermark information comprises:
inputting first weight information of the target neural network model into the embedded neural network model;
obtaining first target watermark embedded data outputted by the embedded neural network model, the first target watermark embedded data including watermark information extracted from the first weight information of the target neural network model by the embedded neural network model;
training the embedded neural network model if the first target watermark embedded data indicates that the target watermark information is not completely embedded in the first weight information to obtain an embedded neural network model that completes a first training, and providing the first target watermark embedded data to the target neural network model;
updating the weight information of the target neural network model according to the first target watermark embedded data to obtain second weight information of the target neural network model;
repeating the inputting, the obtaining and the training using the second weight information as the first weight information until the target neural network model that is completely embedded with the target watermark information and the target watermark information of the embedded neural network model that is able to be extracted from the weight information of the target neural network model are obtained.