Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation.

arXiv:2509.20411v3 Announce Type: replace-cross Abstract: Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks (GANs) act as both powerful attack enablers and promising defenses. This