Browsing Faculty of Engineering & Applied Science by Subject "Generative adversarial networks"
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Design and evaluation of GAN-based models for adversarial training robustness in deep learning
(2023-04-01)Adversarial attacks show one of the generalization issues of current deep learning models on special distribution shifted data. The adversarial samples generated by the attack algorithm can introduce malicious behavior to ... -
A framework for anomalous activity analysis for intrusion detection with applications to IoT networks
(2022-04-01)Computer systems have become an integral part of our daily lives. The Internet of Things (IoT) has recently attracted considerable attention in the information technology industry due to its various benefits. IoT activities ...