DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning
Abstract: Penetration testing, a crucial industrial practice for securing networked systems and infrastructures, has traditionally depended on the extensive expertise of human professionals.
Do you get energy from building AI systems that make a tangible difference in operational environments? Do you want to work at the intersection of machine learning and complex infrastructure, on ...
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