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

Claim 5:
6. The method according to claim 4, wherein training the embedded neural network model to obtain the embedded neural network model that completes the first training if the first target watermark embedded data indicates that the target watermark information is not completely embedded in the target neural network model, comprises:
obtaining first weight information of the reference neural network model, the reference neural network model and the target neural network model having a same structure, wherein the random noise information is not completely embedded in the first weight information of the reference neural network model; and
using the first weight information of the reference neural network model, the random noise information, the first weight information of the target neural network model, and the target watermark information as a fourth watermark training set, and updating the weight information of the embedded neural network model according to the fourth watermark training set to obtain the embedded neural network model that completes the first training.