Name | Support | Language | Availability | Edition date | Price | ||
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PDF |
English |
Active |
6/2/2023 |
€56.00 |
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Paper |
English |
Active |
6/2/2023 |
€69.00 |
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Details
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.
Additional Info
Author | Institute of Electrical and Electronics Engineers (IEEE) |
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Committee | Artificial Intelligence Standards Committee |
Published by | IEEE |
Document type | Standard |
Edition | |
EAN ISBN | 978-1-5044-9752-7 |
ICS | 35.240.01 : Application of information technology in general
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Number of pages | 34 |
Keyword | IEEE 3129-2023 |
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