Representation learning with function call graph transformations for malware open set recognition. (arXiv:2205.06918v2 [cs.CR] UPDATED)

Open set recognition (OSR) problem has been a challenge in many machine
learning (ML) applications, such as security. As new/unknown malware families
occur regularly, it is difficult to exhaust samples that cover all the classes
for the training process in ML systems. An advanced malware classification
system should classify the known classes correctly while sensitive to the
unknown class. In this paper, we introduce a self-supervised pre-training
approach for the OSR problem in malware classification. We propose two
transformations for …

arxiv function graph learning malware representation representation learning set