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CyberArena is a dynamic, symmetric adversarial benchmark built around multi-round attack-and-defense combat, and introduces a dynamical model that maps match dynamics into unified, multidimensional scores across offensive, defensive, and domain-specific capabilities.
This work presents AgentXploit, a two-role auditing system that separates repository-level attack-path discovery from runtime exploitation and introduces AgentXploit-Bench, containing 72 reproducible vulnerabilities across 12 open-source AI-agent systems and frameworks.
This work operationalizes contextual security through four properties that must hold jointly and be evaluated continuously across the agent's trajectory, which changes which defenses are coherent, which evaluations measure something useful, and which attack patterns evaluation can see at all.
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