Asmitha K. A.
2 indexed papers
Recent (6 mo)
2With code
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226
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Crypto×2AI×1ML×1
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2026
Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
The paper proposes a certifiably robust malware detection framework using randomized smoothing and feature ablation to guarantee detection accuracy against metamorphic evasion attacks.
A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution
A unified multi-task malware analysis framework based on Mixture of Experts (MoE) architectures is proposed for malware family classification, packed versus unpacked detection, and malware versus benign identification.
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Papers
cs.CRcs.AIEmpiricalRecentJun 29, 2026
A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution
Jithin S., Roshin Sleeba C., Anvin Mariya P. B., Asmitha K. A. +3 more
A unified multi-task malware analysis framework based on Mixture of Experts (MoE) architectures is proposed for malware family classification, packed versus unpacked detection, and malware versus beni…
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cs.CRcs.LGRecent