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Ontario Tech University
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CodeLLMs can retain their adversarial mutation capabilities even after aggressive pruning, raising critical security concerns for malware detection systems.
RESSAP boosts classifier robustness against evasion attacks by leveraging an ensemble approach with strategically selected features and noise augmentation, achieving superior performance without major architectural changes.