LLM-integrated Applications Vulnerable to Prompt Injection Attacks

Conceptos Básicos

Prompt injection attacks pose significant security risks to LLM-integrated applications, highlighting vulnerabilities and potential exploitation.

Resumen

The study deconstructs prompt injection attacks on LLM-integrated applications, introducing HOUYI as a novel attack technique. It explores vulnerabilities in real-world applications and proposes strategies for successful prompt injection attacks.

• Large Language Models (LLMs) are integrated into various applications, introducing security risks.
• HOUYI is a novel black-box prompt injection attack technique.
• Successful prompt injection attacks can lead to unauthorized access and data theft.
• Vulnerabilities in LLM-integrated applications can have severe consequences.
• Strategies like Framework, Separator, and Disruptor Components are crucial for successful prompt injection attacks.

Estadísticas

"We deploy HOUYI on 36 actual LLM-integrated applications and discern 31 applications susceptible to prompt injection."
"The toolkit registers an 86.1% success rate in launching attacks."

Citas

"Prompt injection attacks pose a particular concern in LLM-integrated applications."
"HOUYI is a groundbreaking black-box prompt injection attack methodology."

Ideas clave extraídas de

Prompt Injection attack against LLM-integrated Applications

by Yi Liu,Gelei... a las arxiv.org 03-05-2024

https://arxiv.org/pdf/2306.05499.pdf

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