Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review

Mathias Lundteigen Mohus, Jinyue Li

As the adoption of machine learning models increases, ensuring robust models against adversarial attacks is increasingly important. With unsupervised machine learning gaining more…