Continuous Training Reduces the Effectiveness of Adversarial Attacks Against Machine Learning-based Network Intrusion Detection Systems
Continuous retraining of machine learning models, even without adversarial training, can significantly reduce the effectiveness of adversarial attacks against network intrusion detection systems.