LLM-integrated Applications Vulnerable to Prompt Injection Attacks

Temel Kavramlar

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

Özet

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.

İstatistikler

"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."

Alıntılar

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

Önemli Bilgiler Şuradan Elde Edildi

Prompt Injection attack against LLM-integrated Applications

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

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

Daha Derin Sorular

질문 1

LLM-통합 애플리케이션은 프롬프트 주입 공격에 대한 보안 조치를 강화하는 데 어떻게 기여할 수 있을까요?
답변 1 여기에

질문 2

LLM-통합 애플리케이션의 취약점을 악용하는 것의 윤리적인 측면은 무엇인가요?
답변 2 여기에

질문 3

LLM-통합 애플리케이션에서 프롬프트 주입 공격이 사용자 개인 정보 보호와 데이터 보안에 미치는 영향은 무엇인가요?
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