ATWM: Defense against adversarial malware based on adversarial training. (arXiv:2307.05095v1 [cs.CR])

Deep learning technology has made great achievements in the field of image.
In order to defend against malware attacks, researchers have proposed many
Windows malware detection models based on deep learning. However, deep learning
models are vulnerable to adversarial example attacks. Malware can generate
adversarial malware with the same malicious function to attack the malware
detection model and evade detection of the model. Currently, many adversarial
defense studies have been proposed, but existing adversarial defense studies
are based on image …

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