构建弹性机器学习中的人工智能技术

Guangye Dai, S. Sthapit, G. Epiphaniou, C. Maple
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引用次数: 0

摘要

人工智能自诞生以来,理论和技术日趋成熟,应用领域也在不断扩大。一些人工智能技术,如深度学习,可以帮助开发弹性机器学习,以减轻对抗性学习攻击。本文以一个借贷案例来解释人工智能在构建弹性机器学习中的应用,并以生成对抗网络为例。此外,我们讨论了弹性机器学习的定义,并对对抗性机器学习攻击和威胁行为者进行了回顾。
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Artificial Intelligence Technologies in Building Resilient Machine Learning
Since the birth of artificial intelligence, theory and technology are increasingly mature, and the application field is also expanding. Some artificial intelligence technologies, such as deep learning, can help develop resilient machine learning to mitigate adversarial learning attacks. This paper uses a money lending case to explain the application of artificial intelligence in building resilient machine learning, and we use Generative Adversarial Network as an example. Moreover, we discuss the definition of resilient machine learning and give a review of adversarial machine learning attacks and threat actors.
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