Li-Jun He

AdvAttack: Adversarial attack against machine learning-based Android malware detection models

AdvAttack is a novel black-box adversarial attack framework, which specifically targets static feature-based Android malware detection models and introduces a precise perturbation set construction process based on the relationships between sensitive API calls, which ensures high success rates in evading detection while maintaining malware functionality.