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Jiyun Yang

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Open access Jul 2026

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.

Jiyun Yang, Lijun He, Xintong Cai et al. · 0 citations