ISO/IEC 24029-3
Methodology for selecting, applying and managing statistical methods to assess robustness properties of neural networks. The statistical companion to ISO/IEC 24029-2, which covers formal methods, inside the ISO/IEC 24029 series on the robustness of neural networks.
ISO/IEC 24029-3 is a compliance framework from international with 1 domains and 0 controls. The largest domains are null (0 controls). Every control below carries what it requires and what an assessor expects to see.
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What is ISO/IEC 24029-3 and who does it apply to?
ISO/IEC 24029-3 is a compliance framework from international with 1 domains and 0 controls. Methodology for selecting, applying and managing statistical methods to assess robustness properties of neural networks. The statistical companion to ISO/IEC 24029-2, which covers formal methods, inside the ISO/IEC 24029 series on the robustness of neural networks. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
What does ISO/IEC 24029-3 actually require?
ISO/IEC 24029-3 has 0 controls organised across 1 domains. The largest domains are null (0 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
If I already comply with another framework, how much of ISO/IEC 24029-3 do I already cover?
ISO/IEC 24029-3 does not currently have cross-framework mappings in our system. Check back as we continuously expand our mapping database.
How do I implement ISO/IEC 24029-3?
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