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prompt-injection
shiqiangchen6/prompt-injection
prompt-injection is a machine learning model from shiqiangchen6. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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Updated Jul 15, 2026
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026
- SHA
- 24a9bead
Model card
From the Hugging Face model README
Prompt Injection is Not an AI Problem: Why MCP Tool Hardening Matters
Authors: Shiqiang Chen
Abstract: Prompt injection has been widely framed as a language model safety problem, with solutions focused on input filtering, alignment training, and guardrail models. This paper argues that this framing is fundamentally incomplete. Through an analysis of MCP tool interactions, we demonstrate that prompt injection is primarily a tool security and input sanitization problem, not an AI alignment one. We show how seemingly benign tool integrations create injection vectors that bypass LLaMA-based guardrails, and we propose a principle-based approach to MCP tool hardening: validate at the boundary, not the model.
Key Contributions
- Reframing prompt injection as a tool security problem, not an AI alignment problem
- Analysis of MCP tool injection vectors that bypass LLaMA guardrails
- Principle-based approach to MCP tool hardening (validate at the boundary)
- Practical recommendations for tool developers and protocol designers
Paper
The full paper is available as paper-prompt-injection.pdf
- License
- apache-2.0
- Created
- Jul 15, 2026
- Updated
- Jul 15, 2026