The article discusses deep learning, a type of advanced machine learning. It explains how deep learning models work, focusing on convolutional neural networks and back-propagation. The researchers also explore the vulnerabilities of deep learning, such as uncertainty estimation and adversarial attacks. Unlike traditional machine learning, attacks on deep learning models don't always need to understand the model's internal structure. This means that attack methods for deep learning can also be used on traditional machine learning models.