RazorNet: Adversarial Training and Noise Training on a Deep Neural Network Fooled by a Shallow Neural Network

RazorNet: Adversarial Training and Noise Training on a Deep Neural Network Fooled by a Shallow Neural Network

In this work, we propose ShallowDeepNet, a novel system architecture that includes a shallow and a deep neural network. The shallow neural network has the duty of data preprocessing and generating adversarial samples. The deep neural network has the duty of understanding data and information as well...

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Bibliographic Details
Main Authors: Shayan Taheri, Milad Salem, Jiann-Shiun Yuan
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Big Data and Cognitive Computing
Subjects:
adversarial attacks
adversarial perturbations
adversarial training
biometric recognition
convolutional neural networks
data security
deep learning
pill recognition
multiple subnetwork
noise training
transfer learning
Online Access:https://www.mdpi.com/2504-2289/3/3/43

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