Adrian Shuai Li
1 indexed paper
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1With code
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126
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Crypto×1
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2026
Can Drift-Adaptive Malware Detectors Be Made Robust? Attacks and Defenses Under White-Box and Black-Box Threats
The paper proposes a universal robustification framework to enhance drift-adaptive malware detectors against combined concept drift and adversarial attacks, significantly reducing attack success rates across various threat models.
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