Realizable Universal Adversarial Perturbations for Malware

Raphael Labaca-Castro, Luis Muñoz-González, Feargus Pendlebury +3

Machine learning classifiers are vulnerable to adversarial examples -- input-specific perturbations that manipulate models' output. Universal Adversarial Perturbations (UAPs), whic…