ARDL-IDS: Adversarial Resilience in Deep Learning-based Intrusion Detection Systems
Author:
Affiliation:
1. College of Engineering Guindy, Anna University,Dept. of Computer Science and Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10133932/10133963/10134456.pdf?arnumber=10134456
Reference13 articles.
1. The limitation of adversarial training and the blindness of deep neural networks;zhang;International Conference on Learning Representations,0
2. Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms
3. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
4. Fast is better than free: Revisiting adversarial training;wong;ArXiv Preprint,2020
5. Goodfellow, Jonathon Shlens, and Christian Szegedy. Explaining and harnessing adversarial examples;ian;ArXiv Preprint,2014
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