对抗制
强化学习
计算机科学
人工智能
学习分类器系统
分类器(UML)
机器学习
人工神经网络
深层神经网络
深度学习
对抗性机器学习
作者
Matthew Akers,Armon Barton
出处
期刊:IEEE Computer
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:57 (1): 88-99
标识
DOI:10.1109/mc.2023.3324751
摘要
We propose a novel reinforcement learning-based adversarial example attack, Adversarial Reinforcement Learning Agent, designed to learn imperceptible perturbation that causes misclassification when added to the input of a deep learning classifier.
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