2025

Adversarial Malware Generation using AI and ML

Summary

Research on adversarial malware generation using GANs (MalGAN) and Reinforcement Learning techniques. Studies how AI can be used to generate malware variants that evade detection systems, with implications for defensive security research.

Themes

cybersecuritymachine-learning

Keywords

adversarial malware, GAN, reinforcement learning, malware detection, evasion

Poster

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