  Despite the plethora of studies about security vulnerabilities and defenses
of deep learning models, security aspects of deep learning methodologies, such
as transfer learning, have been rarely studied. In this article, we highlight
the security challenges and research opportunities of these methodologies,
focusing on vulnerabilities and attacks unique to them.
