Granted Patent B2

US 12,592,960 · App. 18/640,846 · Granted Mar 31, 2026

Inventors: Yu Zeng (Shanghai, CN); Tingting Geng (Shenzhen, CN); Qinghai Zeng (Shenzhen, CN)

Assignee: HUAWEI TECHNOLOGIES CO., LTD.

H04L63/1441H04L63/0227H04L63/20

Abstract

Claims (44)

1 . A communication method implemented in a communication network, comprising:

obtaining first information, wherein the first information indicates an anti-attack policy of first data, the first data comprises training data and/or inference data of a model, and the first information comprises at least one of the following: data source blocklist information of the first data and/or data source trustlist information of the first data, information indicating a data preprocessing manner of the first data, or information indicating a data enhancement manner of the first data; wherein the first information further includes a granularity of the anti-attack policy that indicates whether the anti-attack policy is implemented at a terminal device level, a cell level, a network slice level, a data radio bearer level, or an access network device level;

sending second information to at least one second node based on the first information, wherein the second information indicates an anti-attack policy of second data and the first data comprises the second data; and wherein the second information comprises at least one of the following: data source blocklist information of the second data and/or data source trustlist information of the second data, information indicating a data preprocessing manner of the second data, or information indicating a data enhancement manner of the second data;

determining the first data based on the first information; and

sending the first data, wherein the first data is used to perform model training and/or determine an inference result.

2 . The method according to claim 1 , wherein the obtaining first information comprises:

obtaining the first information from a first node, wherein the first node is configured to perform model training and/or inference.

3 . The method according to claim 2 , wherein the method further comprises:

sending the first data to the first node.

4 . The method according to claim 1 , wherein the determining the first data based on the first information comprises:

receiving the second data from the at least one second node; and

determining the first data based on the second data of the at least one second node.

5 . The method according to claim 1 , wherein the determining the first data based on the first information comprises:

obtaining original data; and

processing the original data based on the first information, to obtain the first data.

6 . The method according to claim 5 , wherein the obtaining original data comprises:

obtaining the original data from at least one second node.

7 . A communication method implemented in a communication network, comprising:

sending first information, wherein the first information indicates an anti-attack policy of first data, the first data comprises training data and/or inference data of a model and the first information comprises at least one of the following: data source blocklist information of the first data and/or data source trustlist information of the first data, information indicating a data preprocessing manner of the first data, or information indicating a data enhancement manner of the first data; wherein the first information further includes a granularity of the anti-attack policy that indicates whether the anti-attack policy is implemented at a terminal device level, a cell level, a network slice level, a data radio bearer level, or an access network device level;

sending second information to at least one second node based on the first information, wherein the second information indicates an anti-attack policy of second data and the first data comprises the second data; and wherein the second information comprises at least one of the following: data source blocklist information of the second data and/or data source trustlist information of the second data, information indicating a data preprocessing manner of the second data, or information indicating a data enhancement manner of the second data;

obtaining the first data; and

performing at least one of model training or model inference based on the first data.

8 . The method according to claim 7 , wherein the sending first information comprises:

sending the first information to at least one third node.

9 . The method according to claim 8 , wherein the obtaining the first data comprises:

receiving the first data from the at least one third node.

10 . The method according to claim 7 , wherein the method is performed by a first node, and the first node is configured to perform model training and/or inference.

11 . An apparatus, comprising:

at least one processor, and a memory storing instructions for execution by the at least one processor;

wherein, when executed, the instructions cause the apparatus to perform operations comprising:

obtaining first information, wherein the first information indicates an anti-attack policy of first data, the first data comprises training data and/or inference data of a model and the first information comprises at least one of the following: data source blocklist information of the first data and/or data source trustlist information of the first data, information indicating a data preprocessing manner of the first data, or information indicating a data enhancement manner of the first data; wherein the first information further includes a granularity of the anti-attack policy that indicates whether the anti-attack policy is implemented at a terminal device level, a cell level, a network slice level, a data radio bearer level, or an access network device level;

sending second information to at least one second node based on the first information, wherein the second information indicates an anti-attack policy of second data and the first data comprises the second data; and wherein the second information comprises at least one of the following: data source blocklist information of the second data and/or data source trustlist information of the second data, information indicating a data preprocessing manner of the second data, or information indicating a data enhancement manner of the second data;

determining the first data based on the first information; and

sending the first data, wherein the first data is used to perform model training and/or determine an inference result.

12 . The apparatus according to claim 11 , wherein the obtaining first information comprises:

obtaining the first information from a first node, wherein the first node is configured to perform model training and/or inference.

13 . The apparatus according to claim 12 , wherein, when executed, the instructions cause the apparatus to perform operations comprising:

sending the first data to the first node.

14 . The apparatus according to claim 11 , wherein the determining the first data based on the first information comprises:

receiving the second data from the at least one second node; and

determining the first data based on the second data of the at least one second node.

15 . The apparatus according to claim 11 , wherein the determining the first data based on the first information comprises:

obtaining original data; and

processing the original data based on the first information, to obtain the first data.

Assignments (1)

Priority Claims (1)

Continuity (2)

References Cited (11)