Generative Adversarial Networks for Malware Detection: a Survey. (arXiv:2302.08558v1 [cs.CR])

Since their proposal in the 2014 paper by Ian Goodfellow, there has been an
explosion of research into the area of Generative Adversarial Networks. While
they have been utilised in many fields, the realm of malware research is a
problem space in which GANs have taken root. From balancing datasets to
creating unseen examples in rare classes, GAN models offer extensive
opportunities for application. This paper surveys the current research and
literature for the use of Generative Adversarial Networks in …

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