Defense Against the Dark Arts: An overview of adversarial example security research and future research directions
arXiv:1806.04169v140 citations
Originality Synthesis-oriented
AI Analysis
It addresses the problem of adversarial example security for machine learning practitioners and researchers, but is incremental as it reviews existing work.
The article summarizes the state of the art in defenses against adversarial examples and provides recommendations for future research directions, based on a keynote lecture at a 2018 workshop.
This article presents a summary of a keynote lecture at the Deep Learning Security workshop at IEEE Security and Privacy 2018. This lecture summarizes the state of the art in defenses against adversarial examples and provides recommendations for future research directions on this topic.