公开(公告)号：US20250037022A1

公开(公告)日：2025-01-30

申请号：US18758848

申请日：2024-06-28

Applicant: Nokia Technologies Oy

Inventor： Chaitanya AGGARWAL ,  Saurabh Khare ,  Divya G Nair ,  Tejas Subramanya

IPC: G06N20/00

Abstract: There is provided an apparatus comprising means for: receiving a request from an analytics consumer for analytics information from a first machine learning model, obtaining the first machine learning model, obtaining a second machine learning model, the second machine learning model being trained prior to the first machine learning model, the first machine learning model and the second machine learning model having the same analytics identifier; obtaining a first inference output from the first machine learning model and a second inference output from the second machine learning model, determining, based on the first inference output and the second inference output that the first machine learning model has been attacked and providing an indication to a network entity that the first machine learning model has been attacked.

公开(公告)号：US12063230B2

公开(公告)日：2024-08-13

申请号：US17718552

申请日：2022-04-12

Applicant: Nokia Technologies Oy

Inventor： Janne Ali-Tolppa ,  Tejas Subramanya

IPC: H04L9/40 ,  H04L41/16

CPC classification number: H04L63/1416 ,  H04L41/16 ,  H04L63/126

Abstract: There are provided measures for trust related management of artificial intelligence or machine learning pipelines. Such measures exemplarily include, at a first network entity managing artificial intelligence or machine learning trustworthiness in a network, transmitting a first artificial intelligence or machine learning trustworthiness related message towards a second network entity managing artificial intelligence or machine learning trustworthiness in an artificial intelligence or machine learning pipeline in the network, and receiving a second artificial intelligence or machine learning trustworthiness related message from the second network entity, where the first artificial intelligence or machine learning trustworthiness related message includes at least one criterion related to an artificial intelligence or machine learning trustworthiness aspect.

公开(公告)号：US20230040284A1

公开(公告)日：2023-02-09

申请号：US17718552

申请日：2022-04-12

Applicant: Nokia Technologies Oy

Inventor： Janne Ali-Tolppa ,  Tejas Subramanya

IPC: H04L9/40 ,  H04L41/16

Abstract: There are provided measures for trust related management of artificial intelligence or machine learning pipelines. Such measures exemplarily include, at a first network entity managing artificial intelligence or machine learning trustworthiness in a network, transmitting a first artificial intelligence or machine learning trustworthiness related message towards a second network entity managing artificial intelligence or machine learning trustworthiness in an artificial intelligence or machine learning pipeline in the network, and receiving a second artificial intelligence or machine learning trustworthiness related message from the second network entity, where the first artificial intelligence or machine learning trustworthiness related message includes at least one criterion related to an artificial intelligence or machine learning trustworthiness aspect.