Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning

8 June 2023

Papers citing "Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning"

4 / 4 papers shown

Title
Introducing Perturb-ability Score (PS) to Enhance Robustness Against Problem-Space Evasion Adversarial Attacks on Flow-based ML-NIDS Mohamed elShehaby Ashraf Matrawy AAML 31 0 0 11 Sep 2024
Introducing Adaptive Continuous Adversarial Training (ACAT) to Enhance ML Robustness Mohamed el Shehaby Aditya Kotha Ashraf Matrawy AAML 23 0 0 15 Mar 2024
Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review Huda Ali Alatwi C. Morisset AAML 27 23 0 06 Dec 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016