Adversarial attacks can cause DNS amplification, fool network defense systems, machine learning study finds

According to a study by researchers at the Citadel, South Carolina, deep learning models trained for network intrusion detection can be bypassed through adversarial attacks, specially crafted data that fools neural networks to change their behavior.