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

Claim 10:
11. The one or more computer readable media according to claim 9, wherein using the reference weight information and the target weight information as the training set to train the detection neural network model, and adjusting the model training method of the target neural network model according to the distinguishability data of the reference weight information and the target weight information outputted by the detection neural network model to obtain the target neural network model that satisfies the watermark information hiding condition, comprise:
using the reference weight information and first target weight information as the training set to train the detection neural network model;
obtaining first distinguishability data of the reference weight information and the first target weight information outputted by the detection neural network model;
providing the first distinguishability data to the target neural network model to allow the target neural network model to update the target weight information of the target neural network model according to the first distinguishability data and obtain second target weight information if the first distinguishability data indicates that the reference weight information is distinguishable from the first target weight information; and
repeating the steps of using, obtaining, and providing with the reference weight information and the second target weight information as the training set until target distinguishability data satisfying a preset watermark information hiding condition is obtained, and a target neural network model corresponding to the target distinguishability data is determined as the target neural network model that satisfies the watermark information hiding condition.