This standard establishes a comprehensive framework for mitigating security risks, privacy leaking in the development, deployment, and use of generative…
Security and resilience
JT021030
Contributions towards ISO/IEC 27090
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).…
ITU-T X.1376 (01/2021)
Security-related misbehaviour detection mechanism using big data for connected vehicles
Recommendation ITU-T X.1376 describes a security-related misbehaviour detection mechanism for connected vehicles to help stakeholders to utilize automotive data to…
ITU-T X.1371 (05/2020)
Security threats to connected vehicles
Recommendation ITU-T X.1371 describes security threats to connected vehicles and the vehicle eco-system. © ITU 2023 All rights reserved
Reports, resolutions, and position papers
Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development
ETSI TR 104032 V 1.1.1
Securing Artificial Intelligence (SAI) – Traceability of AI Models
The NWI will study the role of traceability in the challenge of Securing AI and explore issues related to sharing…
ETSI TR 104031 V 1.1.1
Securing Artificial Intelligence (SAI) – Collaborative Artificial Intelligence
This work item covers security aspects of pervasive and collaborative artificial intelligence (AI) (e. g., federated learning, transfer learning, distributed…
ETSI GS ZSM 012 V 1.1.1
Zero-touch network and Service Management (ZSM) – Enablers for Artificial Intelligence-based Network and Service Automation
The work item will specify extensions and new capabilities (so-called ‘AI enablers’) for the ZSM framework reference architecture providing support…
ETSI GR ZSM 005 V 1.1.1
Zero-touch network and Service Management (ZSM) – Means of Automation
This work item will explore different existing means or approaches, to achieve automation. It will not address a survey of…
