Generating adversarial malware using GANs to evade robust detectors
This study investigates the application of generative adversarial networks (GANs) to create new adversarial data capable of evading existing malware detectors, and demonstrates the GANs network as a highly robust model capable of circumventing detectors, even when modifications are not directly applied to all features...