This document provides background about existing methods to assess the robustness of neural networks. © ISO/IEC 2022 All rights reserved
AI-specific
Artificial Intelligence – Life Cycle Processes and Quality Requirements – Part 1: Quality Meta Model
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
This DIN SPEC in accordance with the PAS procedure has been drawn up by a DIN SPEC (PAS)-consortium set up…
This document provides a data quality governance framework for analytics and machine learning to enable governing bodies of organizations to…
This Recommendation describes the architecture, functional entities, and interfaces for a spontaneous dialogue processing system for language learning. © ITU…
This document provides the landscape for understanding and associating of “Data quality for analytics and ML” series and guides the…
This document provides a data quality model, data quality measures, and guidance on reporting data quality in the context of…
This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality for data used in…
This document gives a general model and interaction model based on the user interface of emotion computing, describing emotion representation,…
This Recommendation provides an architectural framework for machine learning (ML) models serving in future networks including IMT-2020, i.e., preparing and…
