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News/DroidBreaker: Practical and Functional Problem-Space Attacks on Machine-Learning Android Malware Detectors
arxiv
PublishedJune 26, 2026 at 4:00 AM
—neutral

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

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Publisher summary· verbatim

arXiv:2606.26707v1 Announce Type: cross 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

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#security#malware#adversarial-attacks#android
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Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#security#malware#adversarial-attacks#android
Mentioned companies
01
VirusTotal

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