In the previous technique, we noticed that if we are generating adversarial samples, especially if the outcomes are binaries, we will face some issues, including generating invalid samples. Information security researchers have come up with a new technique to bypass machine learning anti-malware systems with reinforcement learning.
Bypassing machine learning with reinforcement learning
Reinforcement learning
Previously (especially in the first chapter), we explored the different machine learning models: supervised, semi-supervised, unsupervised, and reinforcement models. Reinforcement machine learning models are important approaches to building intelligent machines. In reinforcement learning, an agent learns through experience...
