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May, 2025
对机器思维的红队测试：对大型语言模型的提示注入和越狱漏洞的系统评估
Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs
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Chetan Pathade
TL;DR
本研究解决了大型语言模型（LLMs）在提示注入和越狱攻击下的脆弱性问题，提供了系统化的评估和分类。通过分析超过1400个对抗性提示，揭示了它们对多个先进LLM的影响，并提出分层缓解策略，以增强LLM的安全性。
Abstract
Large Language Models
(LLMs) are increasingly integrated into consumer and enterprise applications. Despite their capabilities, they remain susceptible to
Adversarial Attacks
such as
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