人工智能安全与人工智能安全

E. Bertino, Murat Kantarcioglu, C. Akcora, S. Samtani, Sudip Mittal, Maanak Gupta
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引用次数: 17

摘要

一方面,安防行业已经成功地采用了一些基于人工智能的技术。用途包括减轻拒绝服务攻击、取证、入侵检测系统、国土安全、关键基础设施保护、敏感信息泄漏、访问控制和恶意软件检测。另一方面,我们看到了对抗性人工智能的崛起。这里的核心理念是为了乐趣和利益而颠覆AI系统。用于生产人工智能系统的方法在系统上容易受到一类新的漏洞的攻击。攻击者正在利用这些漏洞来改变人工智能系统的行为,以达到恶意的最终目标。本小组将讨论其中的一些方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI for Security and Security for AI
On one side, the security industry has successfully adopted some AI-based techniques. Use varies from mitigating denial of service attacks, forensics, intrusion detection systems, homeland security, critical infrastructures protection, sensitive information leakage, access control, and malware detection. On the other side, we see the rise of Adversarial AI. Here the core idea is to subvert AI systems for fun and profit. The methods utilized for the production of AI systems are systematically vulnerable to a new class of vulnerabilities. Adversaries are exploiting these vulnerabilities to alter AI system behavior to serve a malicious end goal. This panel discusses some of these aspects.
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