Representation-Aware Knowledge Distillation for Efficient Malware Family Classification
Malware family classification is an important cybersecurity task, but designing models that are both accurate and compact remains challenging due to malware obfuscation and computational constraints. This paper investigates efficient malware image classification by jointly considering byte-to-image representation, teac...