System_Prompts_Dataset

provenance:github:mohana9985/System_Prompts_Dataset

The project aims to benchmark and improve the security of Large Language Model (LLM) agents against adversarial attacks, such as prompt injection and jailbreaking. It specifically tests an agent's ability to protect its internal instructions and confidential system data (the "secret elements") when interacting with a user.

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First discoveredMay 12, 2026

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first seenApr 6, 2026

last updatedMay 11, 2026

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