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cs.CR2026
SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget
Suresh Kumar Amalapuram, Bikraj Shresta, Siva Ram murthy Chebiyam +2
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 hierar…
cs.CR2024★ 1 cited
SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection
Suresh Kumar Amalapuram, Shreya Kumar, Bheemarjuna Reddy Tamma +1
Fully supervised continual learning methods have shown improved attack traffic detection in a closed-world learning setting. However, obtaining fully annotated data is an arduous t…