ARMED & AIMED

Published:

AxMED was designed to understand how automatically injected perturbations to Microsoft Windows portable executable (PE) malware impact static classifiers without affecting the sample’s functionality and thus keeping the new malicious mutations valid. This work implements the action space and GBDT model proposed on the OpenAI gym malware environment.

Papers: ARMED & AIMED – Source: AxMED