Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models

no code implementations • 25 Mar 2024 • Kaikang Zhao, Xi Chen, Wei Huang, Liuxin Ding, Xianglong Kong, Fan Zhang

In this work, we aim to enhance ensemble diversity by reducing attack transferability.

Adversarial Defense Adversarial Robustness

A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System

no code implementations • 6 Dec 2023 • Xinwei Yuan, Shu Han, Wei Huang, Hongliang Ye, Xianglong Kong, Fan Zhang

In this paper, we propose a novel IDS architecture that can enhance the robustness of IDS against adversarial attacks by combining conventional machine learning (ML) models and Deep Learning models.

Adversarial Attack Adversarial Robustness +1