Many machine learning and reinforcement learning models are susceptible to adversarial attacks; it's not unique to deep learning. However, because so many systems that are currently deployed in applications use deep learning, it's under particular scrutiny.
Then it seems the hype of machine learning is not well founded. Machine learning in general is a big risk if it so easily fooled.
It's hyped because it can guess the right answer "most of the time". As long as it's working with a "random" input (not someone intentionally trying to fool it) it works well; and this is all most people care about.