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News/SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification
arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral

SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification

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arXiv:2607.09936v1 Announce Type: cross Abstract: Cybersecurity systems must adapt rapidly to emerging threats. However, labeled data for new threat categories is unavailable when those threats first appear. Generalized zero-shot learning offers a natural solution by enabling recognition of unseen c

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