sasww4235/AgentLeak-JSON
AgentLeak-JSON: Agent-Based Credential Leakage Benchmark AgentLeak-JSON is a synthetic benchmark of structured JSON tool outputs for studying indirect prompt injection against tool-using LLM agents. Adversarial instructions are embedded in untrusted third-party tool responses (not in the user prompt), with the goal of making the agent disclose a confidential internal recovery token. The dataset was built for the paper: The LASS Paradox: Linear Accessibility Does Not Imply… See the full description on the dataset page: https://huggingface.co/datasets/sasww4235/AgentLeak-JSON.
| Author / organization | sasww4235 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 3 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 22 October 2026 |
| Last updated at source | 22 October 2026 |
Recent changes
- 22 Oct 2026 Description: none → AgentLeak-JSON: Agent-Based Credential Leakage Benchmark AgentLeak-JSON is a synthetic benchmark of structured JSON tool outputs for studying indirect prompt injection against tool-using LLM agents. Adversarial instructions are embedded in
- 22 Oct 2026 Topics added task_categories:text-classification, prompt-injection, indirect-prompt-injection, llm-security, ai-agents, tool-use, credential-leakage, synthetic
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