Mal-D2GAN, a GAN with two detectors and a least-squares loss, produced adversarial malware that lowered the true positive rate of eight classifiers to near zero on a 20,000-sample dataset.
Ray, Cybersecurity for Connected Medical Devices
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Mal-D2GAN: Double-Detector based GAN for Malware Generation
Mal-D2GAN, a GAN with two detectors and a least-squares loss, produced adversarial malware that lowered the true positive rate of eight classifiers to near zero on a 20,000-sample dataset.