Exploring zero-day attacks on machine learning and deep learning algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F24%3A00060616" target="_blank" >RIV/61384399:31140/24:00060616 - isvavai.cz</a>
Result on the web
<a href="https://papers.academic-conferences.org/index.php/eccws/issue/view/33/39" target="_blank" >https://papers.academic-conferences.org/index.php/eccws/issue/view/33/39</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Exploring zero-day attacks on machine learning and deep learning algorithms
Original language description
Main topics of the document: Zero-Day attacks; machine learning; deep learning; security; models
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 23rd European Conference on Cyber Warfare and Security, ECCWS 2024
ISBN
978-1-917204-06-4
ISSN
2048-8602
e-ISSN
2048-8610
Number of pages
8
Pages from-to
241-248
Publisher name
Academic Conferences International Limited
Place of publication
United Kingdom
Event location
Finsko
Event date
Jun 27, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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