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IEEE 3129-2023

Current Revision

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

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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.
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.
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.

SDO IEEE: Institute of Electrical and Electronics Engineers
Document Number 3129
Publication Date June 2, 2023
Language en - English
Page Count 34
Revision Level
Supercedes
Committee Artificial Intelligence Standards Committee
Publish Date Document Id Type View
June 2, 2023 3129-2023 Revision