Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems

12 March 2023

Papers citing "Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems"

7 / 7 papers shown

Title
DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-based Intrusion Detection Against Adversarial Attacks Jing Chen Onat Gungor Zhengli Shang Elvin Li T. Rosing AAML 42 0 0 17 Apr 2025
Frontier AI's Impact on the Cybersecurity Landscape Wenbo Guo Yujin Potter Tianneng Shi Zhun Wang Andy Zhang Dawn Song 52 2 0 07 Apr 2025
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures Shalini Saini Anitha Chennamaneni Babatunde Sawyerr AAML 89 0 0 18 Dec 2024
Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers Rahul Yumlembam Biju Issac S. M. Jacob Longzhi Yang AAML 28 2 0 01 Sep 2024
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective Khushnaseeb Roshan Aasim Zafar AAML 33 6 0 15 Apr 2024
Adversarial Explainability: Utilizing Explainable Machine Learning in Bypassing IoT Botnet Detection Systems M. Alani Atefeh Mashatan Ali Miri AAML 6 1 0 29 Sep 2023
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 308 5,847 0 08 Jul 2016