防范黑客提示词滥用，守护AI系统安全防线
Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective
- 从网络安全视角分析提示词攻击机制，识别越狱漏洞
- 成功越狱可生成生物武器等危险内容，引发社会风险
- 提出动态防护策略，适合安全研究者与政策制定者参考
越狱提示词对人工智能与网络安全构成重大威胁，因其可绕过大型语言模型的伦理限制，可能被网络犯罪分子滥用。本文从网络安全防御角度分析提示注入、上下文操控等技术，揭示其在生成有害内容、规避内容过滤及提取敏感信息方面的应用。研究表明，成功越狱可能导致虚假信息传播、自动化社交工程攻击，甚至生成生物武器与爆炸物等高危内容。为此，论文提出基于高级提示分析、动态安全协议与持续模型微调的防御策略，以增强AI系统韧性。同时强调需推动人工智能研究人员、网络安全专家与政策制定者协作，建立保护AI系统的标准。通过案例研究展示上述防御方法，倡导负责任的AI实践，维护系统完整性与公众信任。警告：本文包含可能令人不适的内容。
原文摘要 · Abstract (English)
Jailbreak prompts pose a significant threat in AI and cybersecurity, as they are crafted to bypass ethical safeguards in large language models, potentially enabling misuse by cybercriminals. This paper analyzes jailbreak prompts from a cyber defense perspective, exploring techniques like prompt injection and context manipulation that allow harmful content generation, content filter evasion, and sensitive information extraction. We assess the impact of successful jailbreaks, from misinformation and automated social engineering to hazardous content creation, including bioweapons and explosives. To address these threats, we propose strategies involving advanced prompt analysis, dynamic safety protocols, and continuous model fine-tuning to strengthen AI resilience. Additionally, we highlight the need for collaboration among AI researchers, cybersecurity experts, and policymakers to set standards for protecting AI systems. Through case studies, we illustrate these cyber defense approaches, promoting responsible AI practices to maintain system integrity and public trust. \textbf{\color{red}Warning: This paper contains content which the reader may find offensive.}
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