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Security of Deep Learning Methodologies: Challenges and Opportunities

8 December 2019
Shahbaz Rezaei
Xin Liu
    AAML
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Abstract

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.

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