SIST-TP EN ISO/IEC/TR 24029-1:2024 PDF
Artificial Intelligence (AI) - Assessment of the robustness of neural networks - Part 1: Overview (ISO/IEC TR 24029-1:2021)
Artificial Intelligence (AI) - Assessment of the robustness of neural networks - Part 1: Overview (ISO/IEC TR 24029-1:2021)
- Статус документа:
- Действующий
- Формат:
- Электронный (PDF)
- Количество страниц:
- 39
- Дата публикации:
- 11 марта 2024 г.
- Издание:
- CEN TR 24029 edition 1 version 1
- ICS:
- 35.020
This document provides background about existing methods to assess the robustness of neural networks.
Abstract
Overview
SIST-TP EN ISO/IEC/TR 24029-1:2024 - is a technical report that provides a comprehensive background on methods for assessing the robustness of neural networks in AI systems. Prepared by CEN-CENELEC Technical Committee JTC 21, this document highlights the importance of robustness in AI applications and describes the principal methodologies for evaluating how well neural networks maintain performance under diverse and challenging conditions.
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