Similarity-constrained adversarial perturbations reduce drift signals in malware classifiers while achieving evasion, with l2 regularization performing best.
In: 4th Deep Learning and Security Workshop (2021)
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Adversarial Evasion in Non-Stationary Malware Detection: Minimizing Drift Signals through Similarity-Constrained Perturbations
Similarity-constrained adversarial perturbations reduce drift signals in malware classifiers while achieving evasion, with l2 regularization performing best.