Adversarial Vulnerabilities in Cooperative Multi-Agent Reinforcement Learning for Distributed 5G Security
This study provides among the first empirical evaluations of adversarial fragility in cooperative MARL-based intrusion detection within distributed 5G-oriented security abstractions, demonstrating that cooperative intelligence alone does not guarantee adversarial robustness.