Author

Chaowei Xiao

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#artificial intelligence Preprint Jun 2026

AutoDojo: A Generative Benchmark for Evaluating Prompt Injection Defenses in LLM Agents

AutoDojo is introduced, a generative benchmark built on AgentDojo and AgentDyn that generates IPI adaptively for a given agent and defense, and it is demonstrated that standard static benchmarks often significantly overestimate defense efficacy.

Xinhang Ma, Taoran Li, Chao-Wei Xiao et al. · 5 citations

Preprint Aug 2026

ROPE: Routed Origin Policy Enforcement against Indirect Prompt Injection

ROPE is presented, which is anchored in a structural notion of trust, and holds attack success rate to 1.6--2.6 while retaining 82--100% of undefended clean utility, significantly exceeding state-of-the-art system-level defenses in utility while attaining comparable or better security.

Xinhang Ma, Chao-Wei Xiao, William Yeoh et al. · 3 citations · ⚡2