arXiv Machine Learning June 24, 2026 By Suresh Kumar Amalapuram, Bikraj Shresta, Siva Ram murthy Chebiyam, Bheemarjuna Reddy Tamma, Sumohana S Channappayya

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

Read the original on arXiv Machine Learning →

arXiv:2605. 24903v2 Announce Type: replace-cross Abstract: Machine learning based malware detectors become obsolete over time due to concept drift in benign and malware applications.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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Concept Drift Detection and Adaptive Retraining of Malware Classification Models

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Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs

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