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News/SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget
arxiv
PublishedMay 26, 2026 at 4:00 AM

SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget

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arXiv:2605.24903v1 Announce Type: cross Abstract: Machine learning based malware detectors become obsolete over time due to concept drift in benign and malware applications. Recent methods rely on fully labeled data and use hierarchical contrastive loss (HCL) with active learning to improve robustne

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