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

Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt +2

Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks (GANs) act as both powerful attack enablers and pro…