The limitations of adversarial training and the blind-spot attack

The adversarial training procedure proposed by Madry et al. (2018) is one of the most effective methods to defend against adversarial examples in deep neural networks (DNNs). In our paper, we shed some lights on the practicality and the hardness of adversarial training by showing that the effectiven...

Full description

Bibliographic Details
Main Authors: Chen, Hongge (Author), Boning, Duane S (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: ICLR, 2021-03-05T11:58:35Z.
Subjects:
Online Access:Get fulltext