Defending Artificial Intelligence against deception attacks

保护人工智能免受欺骗攻击

• 批准号: NS220100007
• 负责人: Prof Ajmal Mian
• 金额: $ 38.25万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: National Intelligence and Security Discovery Research Grants
• 财政年份: 2022
• 资助国家: 澳大利亚
• 起止时间: 2022-12-30 至 2025-12-29
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/NS220100007
• 关键词: Defending; Artificial; Intelligence; against; deception

Artificial Intelligence relies on deep learning as its central driving tool. However, deep learning is vulnerable to malicious attacks that can manipulate data or embed Trojans in the deep models to gain full control over the AI system. This project aims to secure AI systems for defense applications by comprehensively addressing its vulnerabilities to attacks. The outcomes are likely to enable the detection of malicious attacks on deep learning, identification of the attack sources, estimation of attackers' capabilities and cleansing of the model and data of the malignant effects. This will significantly advance our capability to understand and defend against AI vulnerabilities, thereby benefiting defense and modern technologies alike.

人工智能依赖深度学习作为其核心驱动工具。然而，深度学习很容易受到恶意攻击，这些攻击可以操纵数据或在深度模型中嵌入木马，以获得对AI系统的完全控制。该项目旨在通过全面解决其易受攻击的漏洞来保护用于国防应用的人工智能系统。 这些结果可能有助于检测对深度学习的恶意攻击，识别攻击源，估计攻击者的能力以及清理模型和数据的恶性影响。这将大大提高我们理解和防御人工智能漏洞的能力，从而使国防和现代技术都受益。