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Comparative evaluation of machine learning methods for protecting LLMs from prompt injection attacks.

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Title: Comparative evaluation of machine learning methods for protecting LLMs from prompt injection attacks.
Authors: Dzhaliuk, Nazarii1, nazarii.o.dzhaliuk@lpnu.ua, Sabodashko, Dmytro1, Khoma, Volodymyr1,2, Khoma, Yuriy1, Kolchenko, Viktor1, Podpora, Michal3
Source: International Journal of Information Security; Aug2026, Vol. 25 Issue 4, p1-11, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194662291
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Comparative evaluation of machine learning methods for protecting LLMs from prompt injection attacks.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Information+Security%22">International Journal of Information Security</searchLink>; Aug2026, Vol. 25 Issue 4, p1-11, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194662291
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      – Type: doi
        Value: 10.1007/s10207-026-01264-8
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      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: Comparative evaluation of machine learning methods for protecting LLMs from prompt injection attacks.
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            NameFull: Kolchenko, Viktor
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            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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