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kSIST-TP FprEN ISO/IEC/TR 24029-1:2023

(Main)

Artificial Intelligence (AI) - Assessment of the robustness of neural networks - Part 1: Overview (ISO/IEC TR 24029-1:2021)

Artificial Intelligence (AI) - Assessment of the robustness of neural networks - Part 1: Overview (ISO/IEC TR 24029-1:2021)

This document provides background about existing methods to assess the robustness of neural networks.

Informationstechnik - Künstliche Intelligenz - Bewertung der Robustheit neuronaler Netze (ISO/IEC TR 24029-1:2021)

Intelligence artificielle (IA) - Évaluation de la robustesse des réseaux de neurones - Partie 1: Vue d'ensemble (ISO/IEC TR 24029-1:2021)

Umetna inteligenca (UI) - Ocenjevanje robustnosti nevronskih omrežij - 1. del: Pregled (ISO/IEC TR 24029-1:2021)

General Information

Status
Not Published
Public Enquiry End Date
14-Nov-2023
ICS
35.020 - Information technology (IT) in general
Technical Committee
UMI - Artificial intelligence
Current Stage
6060 - National Implementation/Publication (Adopted Project)
Start Date
02-Feb-2024
Due Date
08-Apr-2024
Ref Project
CEN/CLC ISO/IEC/TR 24029-1:2023 - Artificial Intelligence (AI) - Assessment of the robustness of neural networks - Part 1: Overview (ISO/IEC TR 24029-1:2021)

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Standards Content (Sample)

SLOVENSKI STANDARD
kSIST-TP FprEN ISO/IEC/TR 24029-1:2023
01-november-2023
Umetna inteligenca (UI) - Ocenjevanje robustnosti nevronskih omrežij - 1. del:
Pregled (ISO/IEC TR 24029-1:2021)
Artificial Intelligence (AI) - Assessment of the robustness of neural networks - Part 1:
Overview (ISO/IEC TR 24029-1:2021)
Informationstechnik - Künstliche Intelligenz - Bewertung der Robustheit neuronaler Netze
(ISO/IEC TR 24029-1:2021)
Intelligence artificielle (IA) - Évaluation de la robustesse des réseaux de neurones -
Partie 1: Vue d'ensemble (ISO/IEC TR 24029-1:2021)
Ta slovenski standard je istoveten z: FprEN ISO/IEC/TR 24029-1
ICS:
35.020 Informacijska tehnika in Information technology (IT) in
tehnologija na splošno general
kSIST-TP FprEN ISO/IEC/TR 24029- en,fr,de
1:2023
2003-01.Slovenski inštitut za standardizacijo. Razmnoževanje celote ali delov tega standarda ni dovoljeno.

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kSIST-TP FprEN ISO/IEC/TR 24029-1:2023

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kSIST-TP FprEN ISO/IEC/TR 24029-1:2023
TECHNICAL ISO/IEC TR
REPORT 24029-1
First edition
2021-03
Artificial Intelligence (AI) —
Assessment of the robustness of
neural networks —
Part 1:
Overview
Reference number
ISO/IEC TR 24029-1:2021(E)
©
ISO/IEC 2021

---------------------- Page: 3 ----------------------
kSIST-TP FprEN ISO/IEC/TR 24029-1:2023
ISO/IEC TR 24029-1:2021(E)

COPYRIGHT PROTECTED DOCUMENT
© ISO/IEC 2021
All rights reserved. Unless otherwise specified, or required in the context of its implementation, no part of this publication may
be reproduced or utilized otherwise in any form or by any means, electronic or mechanical, including photocopying, or posting
on the internet or an intranet, without prior written permission. Permission can be requested from either ISO at the address
below or ISO’s member body in the country of the requester.
ISO copyright office
CP 401 • Ch. de Blandonnet 8
CH-1214 Vernier, Geneva
Phone: +41 22 749 01 11
Email: copyright@iso.org
Website: www.iso.org
Published in Switzerland
ii © ISO/IEC 2021 – All rights reserved

---------------------- Page: 4 ----------------------
kSIST-TP FprEN ISO/IEC/TR 24029-1:2023
ISO/IEC TR 24029-1:2021(E)

Contents Page
Foreword .iv
Introduction .v
1 Scope .1
2 Normative references .1
3 Terms and definitions .1
4 Overview of the existing methods to assess the robustness of neural networks .3
4.1 General . 3
4.1.1 Robustness concept . 3
4.1.2 Typical workflow to assess robustness . 3
4.2 Classification of methods . 6
5 Statistical methods .7
5.1 General . 7
5.2 Robustness metrics available using statistical methods . 8
5.2.1 General.
...

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