Myth: Deep learning is more vulnerable to adversarial examples than other kind of machine learning.
Fact: So far we have been able to generate adversarial examples for every model we have tested, including simple traditional machine learning models like nearest neighbor. Deep learning with adversarial training is the most resistant technique we have studied so far.