Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Deep learning has greatly improved visual recognition in recent years. However, recent research has shown that there exist many adversarial examples that can negatively impact the performance of such an architecture. This paper focuses on detecting those adversarial examples by analyzing whether they come from the same distribution as the …