Elsa1111/ResourceHijackBench

ResourceHijackBench ResourceHijackBench accompanies Beyond Direct Access: Resource Hijacking in LLM Agents. This release packages the dataset supplied with the paper's iclr-hub code for approved research access on the Hugging Face Hub. It contains 900 attack cases, 300 scenarios, and the complete released collection of 36 local sandbox environments. The benchmark studies whether an LLM agent can be induced to use a protected resource. Each attack combines a user prompt with a… See the full description on the dataset page: https://huggingface.co/datasets/Elsa1111/ResourceHijackBench.

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