arxiv
PublishedSeptember 25, 2026 at 4:00 AM
—neutral
Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)
Publisher summary· verbatim
arXiv:2608.04317v2 Announce Type: replace-cross Abstract: Autonomous cyber defense systems based on Deep Reinforcement Learning (DRL) have attracted significant research attention, yet remain evaluated almost exclusively against static, heuristic red agents, leaving their robustness against adaptive
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Originally published on arxiv ↗