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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Detalhes bibliográficos
Main Authors: Shayan Taheri, Milad Salem, Jiann-Shiun Yuan
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-07-01
Colecção:Big Data and Cognitive Computing
Assuntos:
adversarial attacks
adversarial perturbations
adversarial training
biometric recognition
convolutional neural networks
data security
deep learning
pill recognition
multiple subnetwork
noise training
transfer learning
Acesso em linha:https://www.mdpi.com/2504-2289/3/3/43
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