English

Security of Deep Learning Methodologies: Challenges and Opportunities

Cryptography and Security 2019-12-10 v1 Artificial Intelligence Machine Learning

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.

Keywords

Cite

@article{arxiv.1912.03735,
  title  = {Security of Deep Learning Methodologies: Challenges and Opportunities},
  author = {Shahbaz Rezaei and Xin Liu},
  journal= {arXiv preprint arXiv:1912.03735},
  year   = {2019}
}
R2 v1 2026-06-23T12:39:22.862Z