MalModel: Hiding Malicious Payload in Mobile Deep Learning Models with Black-box Backdoor Attack. (arXiv:2401.02659v1 [cs.CR])

Mobile malware has become one of the most critical security threats in the
era of ubiquitous mobile computing. Despite the intensive efforts from security
experts to counteract it, recent years have still witnessed a rapid growth of
identified malware samples. This could be partly attributed to the
newly-emerged technologies that may constantly open up under-studied attack
surfaces for the adversaries. One typical example is the recently-developed
mobile machine learning (ML) framework that enables storing and running deep
learning (DL) models …

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