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CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning

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Published in:Empirical Software Engineering (Open Access Articles)
Format: Online Article RSS Article
Published: 2026
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container_title Empirical Software Engineering (Open Access Articles)
description
discipline_display Computer Software-Systems
discipline_facet Computer Software-Systems
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institution FRELIP
journal_source_facet Empirical Software Engineering (Open Access Articles)
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publishDate 2026
publishDateSort 2026
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spellingShingle CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
Computer Software-Systems
General
Computer Software-Systems
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Software-Systems
General
Computer Software-Systems
subject_facet Computer Software-Systems
General
Computer Software-Systems
title CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
title_alt CMF-Vul: Avance en la detección automatizada de vulnerabilidades mediante fusión multimodal contrastiva y aprendizaje de representaciones impulsado por desafíos
CMF-Vul : faire progresser la détection automatisée des vulnérabilités via la fusion multimodale contrastive et l'apprentissage de représentations basé sur les défis
CMF-Vul: avançando a detecção automatizada de vulnerabilidades por meio de fusão multimodal contrastiva e aprendizado de representação orientado por desafios
title_auth CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
title_es_txt CMF-Vul: Avance en la detección automatizada de vulnerabilidades mediante fusión multimodal contrastiva y aprendizaje de representaciones impulsado por desafíos
title_fr_txt CMF-Vul : faire progresser la détection automatisée des vulnérabilités via la fusion multimodale contrastive et l'apprentissage de représentations basé sur les défis
title_full CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
title_fullStr CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
title_full_unstemmed CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
title_pt_txt CMF-Vul: avançando a detecção automatizada de vulnerabilidades por meio de fusão multimodal contrastiva e aprendizado de representação orientado por desafios
title_short CMF-Vul: Advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
title_sort cmf-vul: advancing automated vulnerability detection via contrastive multimodal fusion and challenge-driven representation learning
topic Computer Software-Systems
General
Computer Software-Systems
url https://link.springer.com/article/10.1007/s10664-026-10886-4