{"id":465146,"date":"2024-10-20T10:38:58","date_gmt":"2024-10-20T10:38:58","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bsi-pd-cen-clc-iso-iec-tr-24029-12023-2\/"},"modified":"2024-10-26T19:39:16","modified_gmt":"2024-10-26T19:39:16","slug":"bsi-pd-cen-clc-iso-iec-tr-24029-12023-2","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bsi-pd-cen-clc-iso-iec-tr-24029-12023-2\/","title":{"rendered":"BSI PD CEN\/CLC ISO\/IEC\/TR 24029-1:2023"},"content":{"rendered":"

This document provides background about existing methods to assess the robustness of neural networks.<\/p>\n

PDF Catalog<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PDF Pages<\/th>\nPDF Title<\/th>\n<\/tr>\n
2<\/td>\nundefined <\/td>\n<\/tr>\n
6<\/td>\nForeword <\/td>\n<\/tr>\n
7<\/td>\nIntroduction <\/td>\n<\/tr>\n
9<\/td>\n1 Scope
2 Normative references
3 Terms and definitions <\/td>\n<\/tr>\n
11<\/td>\n4 Overview of the existing methods to assess the robustness of neural networks
4.1 General
4.1.1 Robustness concept
4.1.2 Typical workflow to assess robustness <\/td>\n<\/tr>\n
14<\/td>\n4.2 Classification of methods <\/td>\n<\/tr>\n
15<\/td>\n5 Statistical methods
5.1 General <\/td>\n<\/tr>\n
16<\/td>\n5.2 Robustness metrics available using statistical methods
5.2.1 General
5.2.2 Examples of performance measures for interpolation <\/td>\n<\/tr>\n
17<\/td>\n5.2.3 Examples of performance measures for classification <\/td>\n<\/tr>\n
21<\/td>\n5.2.4 Other measures <\/td>\n<\/tr>\n
22<\/td>\n5.3 Statistical methods to measure robustness of a neural network
5.3.1 General
5.3.2 Contrastive measures
6 Formal methods
6.1 General <\/td>\n<\/tr>\n
23<\/td>\n6.2 Robustness goal achievable using formal methods
6.2.1 General
6.2.2 Interpolation stability
6.2.3 Maximum stable space for perturbation resistance <\/td>\n<\/tr>\n
24<\/td>\n6.3 Conduct the testing using formal methods
6.3.1 Using uncertainty analysis to prove interpolation stability
6.3.2 Using solver to prove a maximum stable space property
6.3.3 Using optimization techniques to prove a maximum stable space property <\/td>\n<\/tr>\n
25<\/td>\n6.3.4 Using abstract interpretation to prove a maximum stable space property
7 Empirical methods
7.1 General
7.2 Field trials <\/td>\n<\/tr>\n
26<\/td>\n7.3 A posteriori testing <\/td>\n<\/tr>\n
27<\/td>\n7.4 Benchmarking of neural networks <\/td>\n<\/tr>\n
28<\/td>\nAnnex A (informative) Data perturbation <\/td>\n<\/tr>\n
33<\/td>\nAnnex B (informative) Principle of abstract interpretation <\/td>\n<\/tr>\n
34<\/td>\nBibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Artificial Intelligence (AI). Assessment of the robustness of neural networks – Overview<\/b><\/p>\n\n\n\n\n
Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
BSI<\/b><\/a><\/td>\n2024<\/td>\n40<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":465154,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[2641],"product_tag":[],"class_list":{"0":"post-465146","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-bsi","8":"first","9":"instock","10":"sold-individually","11":"shipping-taxable","12":"purchasable","13":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/465146","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/465154"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=465146"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=465146"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=465146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}