US Patent 11841949 System and method for antimalware application adversarial machine learning

An exemplary system and method are disclosed for detecting malware via an antimalware application employing adversarial machine learning such as generative adversarial machine learning and the training and/or configuring of such systems. The exemplary system and method are configured with two or more generative adversarial networks (GANs), including (i) a first generative adversarial network (GAN) that can be configured using a library of malware code or non-malware code and (ii) a second generative adversarial network (GAN) that operates in conjunction with the first generative adversarial network (GAN) in which the second generative adversarial network is configured using a library of non-malware code.