Browsing by Subject "Adversarial attacks"
Now showing items 1-2 of 2
-
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 ... -
Polymorphic Adversarial DDoS attack on IDS using GAN
(2020-12-01)IDS are essential components in preventing malicious traffic from penetrating networks. IDS have been rapidly enhancing their detection ability using ML algorithms. As a result, attackers look for new methods to evade the ...