This document provides guidance on assessing the robustness of neural networks used in artificial intelligence (AI) systems. It outlines methodologies and considerations for evaluating how well these neural networks can perform under various conditions, including potential adversarial attacks and data variations. The standard aims to help practitioners ensure that AI systems based on neural networks are reliable and resilient across different scenarios.
*** Please note: This description may not be accurate, please refer to the official documentation.