Std

IEEE 3129-2023

IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service

standard by IEEE , 06/02/2023

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Full Description

Scope

This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.

Purpose

The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.

Abstract

New IEEE Standard - Active. Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.
 

Product Details

Published:
06/02/2023
ISBN(s):
9781504497916, 9781504497527, 9781504497534
Number of Pages:
30
File Size:
1 file , 1.8 MB
Product Code(s):
STD26190, STDPD26190, STDPL26221
Note:
This product is unavailable in Russia, Ukraine, Belarus