A randomized smoothing framework with feature ablation and Wilson score intervals provides formal certificates guaranteeing malware classifier robustness within a perturbation radius.
Adversarial robustness of deep learning-based malware detectors via (de) randomized smoothing.IEEE Access, 12:61152–61162
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Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
A randomized smoothing framework with feature ablation and Wilson score intervals provides formal certificates guaranteeing malware classifier robustness within a perturbation radius.