The series it sits in

The published parts beside the one that is coming.

2 pages in this group. Every page states its citation, the evidence a reviewer asks for, and what it does not cover. Last updated: 2026-10-21.

Part 1, the overview of robustness assessment

Part 1 gives background on methods already used to judge how robust a neural network is. It treats robustness as how well an AI system holds its performance whatever happens, with input cond

ISO/IEC TR 24029-1:2021, scope and clause 3

Part 2, the formal-methods companion

Part 2 gives a method for applying formal techniques when the robustness of a neural network is judged. It defines stability as how far a network's output stays the same when inputs change,

ISO/IEC 24029-2:2023, scope, introduction and clause 3.5