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News/Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
arxiv
PublishedSeptember 30, 2026 at 4:00 AM

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

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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 survey systematically reviews GAN-based

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