系统梳理攻击性人工智能在网络安全中的威胁与应用
A Survey on Offensive AI Within Cybersecurity
- 从对抗机器学习到武器化AI，覆盖多种攻击路径
- 分析攻击对个人、企业及公共数字基础设施的影响
- 适合安全研究者与防御策略制定者阅读
人工智能在各领域迅速发展并深度集成，也日益成为攻击者的目标。本文系统综述攻击性人工智能，涵盖针对AI系统的各类攻击，包括对抗机器学习、模型、基础设施和接口的攻击，以及信息收集、社会工程和武器化AI等技术。分析其对消费者、企业及公共数字基础设施的影响，结合案例研究，探讨后果与启示，并提出未来研究方向。
原文摘要 · Abstract (English)
Artificial Intelligence (AI) has witnessed major growth and integration across various domains. As AI systems become increasingly prevalent, they also become targets for threat actors to manipulate their functionality for malicious purposes. This survey paper on offensive AI will comprehensively cover various aspects related to attacks against and using AI systems. It will delve into the impact of offensive AI practices on different domains, including consumer, enterprise, and public digital infrastructure. The paper will explore adversarial machine learning, attacks against AI models, infrastructure, and interfaces, along with offensive techniques like information gathering, social engineering, and weaponized AI. Additionally, it will discuss the consequences and implications of offensive AI, presenting case studies, insights, and avenues for further research.
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