Developing a Robust Defensive System against Adversarial Examples Using Generative Adversarial Networks

Developing a Robust Defensive System against Adversarial Examples Using Generative Adversarial Networks

In this work, we propose a novel defense system against adversarial examples leveraging the unique power of Generative Adversarial Networks (GANs) to generate new adversarial examples for model retraining. To do so, we develop an automated pipeline using combination of pre-trained convolutional neur...

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Bibliographic Details
Main Authors:	Shayan Taheri, Aminollah Khormali, Milad Salem, Jiann-Shiun Yuan
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Big Data and Cognitive Computing
Subjects:	adversarial machine learning botnet detection generative adversarial networks machine learning
Online Access:	https://www.mdpi.com/2504-2289/4/2/11

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