Malik AL-Essa

C-GUARD: Context-Adaptive Conformal Gating for Improving Robustness Against Evasive Windows PE Malware

Machine Learning (ML)-based malware detectors perform exceptionally well on standard benchmarks, but their robustness to evasive malware remains fragile. On EMBER2024, strong tree-based models achieve high accuracy on clean test sets yet miss a large number of evasive Windows PE...