Security and resilience Archives - Page 5 of 20

Specific methodologies to help employers in accessing, collecting, storing, utilizing, sharing, and destroying employee data are described in this standard.…

Published

Last Updated: 19 Jul 2024

IEEE 2945-2023

IEEE Standard for Technical Requirements for Face Recognition

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Horizontal AI-specific Accuracy and performance Security and resilience

System architecture Computer vision - Facial recognition Interface and architecture Product and performance requirements

This standard specifies an architecture and technical requirements for face recognition systems. A general technical architecture is defined. Functional, performance,…

Published

Last Updated: 18 Jul 2024

IEEE 2830-2021

IEEE Standard for Technical Framework and Requirements of Trusted Execution Environment based Shared Machine Learning

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Horizontal AI-specific Data collection Data processing

Data protection Data sharing Privacy Security and resilience System architecture System quality Interface and architecture Process, management and governance Product and performance requirements

The framework and architecture for machine learning in which a model is trained using encrypted data that has been aggregated…

Published

Last Updated: 18 Jul 2024

IEEE 2813-2020

IEEE Standard for Big Data Business Security Risk Assessment

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General business applications AI-enabling - Cybersecurity AI-enabling - Data AI-enabling - Risk management

Data protection Risk management Security and resilience Process, management and governance

New IEEE Standard – Active. This standard can be applied to internet-based business scenarios, and can also be served serve…

Published

Last Updated: 18 Jul 2024

IEEE 2842-2021

IEEE Recommended Practice for Secure Multi-Party Computation

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Horizontal AI-enabling - Cybersecurity AI-enabling - Data Data processing

Data protection Security and resilience Process, management and governance

Data has become one of the most important assets in ICT area. Secure multi-party computation plays a very important role…

Published

Last Updated: 18 Jul 2024

IEEE 3652.1-2020

IEEE Guide for Architectural Framework and Application of Federated Machine Learning

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Horizontal AI-specific Accuracy and performance Data collection

Data management Data processing Data protection Data sharing Privacy Security and resilience System architecture Foundational and terminology Measurement and test methods Process, management and governance Product and performance requirements

New IEEE Standard – Active. Federated machine learning defines a machine learning framework that allows a collective model to be…

Published

Last Updated: 18 Jul 2024

ITU-T L Supplement 42

Guidelines on the environmental efficiency of machine learning processes in supply chain management

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Logistics and supply chain management AI-specific Explainability and transparency Security and resilience

Sustainability Measurement and test methods

This guidance document is intended to support machine learning (ML) researchers and operators to measure and improve the environmental efficiency…

Published

Last Updated: 18 Jul 2024

ANSI/CTA 2096

Guidelines for Developing Trustworthy Artificial Intelligence Systems

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Horizontal AI-specific Accountability Accuracy and performance

Bias and discrimination Data protection Explainability and transparency Human-centred design Privacy Risk management Safety Security and resilience Stakeholder engagement and communication Process, management and governance

This recommended practice will describe things developers of artificial intelligence (AI) systems should consider for their systems to be considered…

Published

Last Updated: 18 Jul 2024

Content Type

Information technology – Artificial intelligence – Risk management

Information technology – Artificial intelligence – Overview of trustworthiness in artificial intelligence

Information security, cybersecurity and privacy protection. Governance of information security

IEEE Standard for Technical Requirements for Face Recognition

IEEE Standard for Big Data Business Security Risk Assessment

IEEE Recommended Practice for Secure Multi-Party Computation

Guidelines on the environmental efficiency of machine learning processes in supply chain management

Guidelines for Developing Trustworthy Artificial Intelligence Systems

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