2 papers
cs.LG2026
NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing
Raphael Simon, José Carrasquel, Wim Mees +2
Penetration testing - the practice of simulating cyberattacks to identify vulnerabilities - is a complex sequential decision-making task that is inherently partially observable and…
cs.LG2025
Learning Robust Penetration Testing Policies under Partial Observability: A systematic evaluation
Raphael Simon, Pieter Libin, Wim Mees
Penetration testing, the simulation of cyberattacks to identify security vulnerabilities, presents a sequential decision-making problem well-suited for reinforcement learning (RL)…