arxivcs.LGcs.AIcs.CR2026-07-10
SMETA-ZSL:Semantic Meta-Alignment for Zero-Shot Threat Classification
Ivan Alejandro Montoya Sanchez, Anantaa Kotal, Aritran Piplai
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 classes through auxiliary seman…