Mohammad Kharma
1 indexed paper
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126
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Crypto×1AI×1ML×1
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2026
Concept Drift Adaptation Using Self-Supervised and Reinforcement Learning In Android Malware Detection
The paper proposes a cost-aware, adaptive maintenance framework using Reinforcement Learning (RL) and self-supervised learning to mitigate performance degradation (concept drift) in Android malware detectors without requiring full retraining.
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