DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors

DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors arXiv:2606.26707v1 Announce Type: new Abstract: Adversarial APKs are Android applications modified in the problem space to evade machine-learning malware detectors. In this work, we first show that, despite claims, existing problem-space attacks remain largely impractical. Most techniques leverage software transplantation to inject entire benign modules, introducing man…

https://arxiv.org/abs/2606.26707

sha256:238382ae89452be640f45f0e34bac2dcb9db7a7ab7aadce4e4f9c50a9214194f

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