AutoRedClaw: Automated Red-Teaming for Claw-Style Agents
This work introduces AutoRedClaw, an automated red-teaming framework that generates end-to-end attacks together with the environments needed to execute them, and constructs RedClaw-Bench, a 330-case benchmark that yields substantially higher attack success rates (ASRs) than AgentDojo, AgentDyn, and DTap.
Hao Li, Tong-Yan Hu, Weidi Luo et al.
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