A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks

A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks

Deep neural networks(DNNs) are widely used in AI-controlled Cyber-Physical Systems (CPS) to controll cars, robotics, water treatment plants and railways. However, DNNs have vulnerabilities to well-designed input samples that are called adversarial examples. Adversary attack is one of the important t...

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Bibliographic Details
Main Authors: Xiaohui Kuang, Hongyi Liu, Ye Wang, Qikun Zhang, Quanxin Zhang, Jun Zheng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep neural networks
adversarial example
black-box attack
evolutionary strategy
Online Access:https://ieeexplore.ieee.org/document/8917642/

Internet

https://ieeexplore.ieee.org/document/8917642/

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