Mathematics

Extremal black hole

Operating system

Horizon

Artificial intelligence

Charged black hole

Geometry

Adversarial machine learning

Android malware

Computer science

Malware

Android (operating system)

Adversarial system

Computer security

Firewall (physics)

IEEE Systems Journal

Recently, it was shown that the generative adversarial network (GAN) based adversarial-example attacks could thoroughly defeat the existing Android malware detection systems. However, they can be easily defended through deploying a firewall (i.e., adversarial example detector) to filter adversarial examples. To evade both malware detection and adversarial example detection, we develop a new adversarial-example attack method based on our proposed bi-objective GAN. Experiments show that over 95% of adversarial examples generated by our method break through the firewall-equipped Android malware detection system, outperforming the state-of-the-art method by 247.68%.

Adversarial-Example Attacks Toward Android Malware Detection System