What Artificial Intelligence (AI) - Assessment of the Robustness of Neural Networks - Part 1: Overview requires
This technical report provides an overview of existing methods to assess the robustness of neural networks, focusing on formal verification and statistical testing approaches. It applies to developers, evaluators, and auditors of AI systems using neural networks who require guidance on robustness evaluation techniques as outlined in ISO/IEC TR 24029-1:2021, Clause 6.
Pillar: AI Governance & Law · Authority: International Organization for Standardization (ISO) · Version: 1.0.1 · Last updated:
Primary source: https://www.iso.org/standard/77609.html
SHA-256 integrity: f885db8f51ca911122bc50be14e40e9daf7de48c6195094b7e1a4dde74e280a7
Primary Citations — 8 traced to source
- ISO/IEC TR 24029-1:2021, Clause 5.3 - Threat modelling for neural networks
- ISO/IEC TR 24029-1:2021, Clause 6.2 - Overview of robustness assessment methods
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