| Nom | Support | Langue | Disponibilité | Date d'édition | Prix | ||
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PDF |
Anglais |
Active |
02/06/2023 |
56,00 € |
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Papier |
Anglais |
Active |
02/06/2023 |
69,00 € |
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Détails
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.
Informations supplémentaires
| Auteur | Institute of Electrical and Electronics Engineers (IEEE) |
|---|---|
| Comité | Artificial Intelligence Standards Committee |
| Edité par | IEEE |
| Type de document | Norme |
| Edition révision n° | 0 |
| EAN ISBN | 978-1-5044-9752-7 |
| ICS | 35.240.01 : Applications des technologies de l'information en général
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| Nombre de pages | 34 |
| Mot-clé | IEEE 3129-2023 |
| Bon de commande |
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