h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Robustness Margin: A New Measure for the Robustness of Neural Networks

; ; ;

In
AI Verification : Second International Symposium, SAIV 2025, Zagreb, Croatia, July 21–22, 2025, Proceedings / edited by Mirco Giacobbe, Anna Lukina, Seiten/Artikel-Nr: 29-48

Konferenz/Event:8. International Symposium on AI Verification-SAIV , Zagreb , Croatia , SAIV 2025 , 2025-07-21 - 2025-07-22

ImpressumCham : Springer Nature Switzerland

Umfang29-48

ISBN978-3-031-99990-1, 978-3-031-99991-8, 978-3-031-99992-5

ReiheLecture Notes in Computer Science ; 15947

First Online: 28 October 2025

Online
DOI: 10.1007/978-3-031-99991-8_2


Einrichtungen

  1. Lehrstuhl für Informations-, Qualitäts- und Sensorsysteme in der Produktion (417510)
  2. Lehrstuhl für Methodik der Künstlichen Intelligenz (Informatik 14) (125710)
  3. Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105021346578
WOS Core Collection: WOS:001657501700002
OpenAlex: W4415566652

Interne Identnummern
RWTH-2026-02240
Datensatz-ID: 1029338

Beteiligte Länder
Germany, Netherlands

 GO

NationallizenzNationallizenz ; SCOPUS
QR Code for this record

The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
Faculty of Computer Science (Fac.9)
Public records
Publications database
417200
125710
417510
 Record created 2026-02-24, last modified 2026-09-08
Similar records



Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)