An Ontological Knowledge Base of Poisoning Attacks on Deep Neural Networks

An Ontological Knowledge Base of Poisoning Attacks on Deep Neural Networks

Deep neural networks (DNNs) have successfully delivered cutting-edge performance in several fields. With the broader deployment of DNN models on critical applications, the security of DNNs has become an active and yet nascent area. Attacks against DNNs can have catastrophic results, according to rec...

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Bibliographic Details
Main Authors: Majed Altoub, Fahad AlQurashi, Tan Yigitcanlar, Juan M. Corchado, Rashid Mehmood
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
deep neural networks
adversarial attacks
poisoning
backdoors
trojans
taxonomy
Online Access:https://www.mdpi.com/2076-3417/12/21/11053

Internet

https://www.mdpi.com/2076-3417/12/21/11053

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