The natural language processing (NLP) services using machine learning have rich applications in solving various tasks and have been widely…
Horizontal
Privacy and security issues pose great challenges to the federated machine leaning (FML) community. A general view on privacy and…
JT021030
Contributions towards ISO/IEC 27090
ISO/IEC AWI TS 22440-3
Artificial intelligence — Functional safety and AI systems — Part 3: Examples of application
ISO/IEC AWI 4213
Artificial intelligence — Performance measurement for AI classification, regression, clustering and recommendation tasks
This document specifies methodologies for measuring the performance of AI models for classification, regression, clustering and recommendation tasks. © All…
ISO/IEC AWI TS 42119-2
Artificial intelligence — Testing of AI — Part 2: Overview of testing AI systems
This document describes testing techniques (including those described in ISO/IEC/IEEE 29119-4) applicable for AI systems in the context of the…
ISO/IEC AWI 24029-3
Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 3: Methodology for the use of statistical methods
This document provides methodology for the use of statistical methods to assess robustness properties of neural networks. The document focuses…
ISO/IEC AWI 23282
Artificial Intelligence — Evaluation methods for accurate natural language processing systems
This document specifies the evaluation of natural language processing systems, in the sense of measuring the quality of a system’s results…
ISO/IEC AWI TS 22440-1
Artificial intelligence — Functional safety and AI systems — Part 1: Requirements
ISO/IEC AWI TS 22440-2
Artificial intelligence — Functional safety and AI systems — Part 2: Guidance
NIST AI 100-2 E2023
Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML).…
