Improving the Robustness of Neural Networks Using K-Support Norm Based Adversarial Training

Improving the Robustness of Neural Networks Using K-Support Norm Based Adversarial Training

It is of significant importance for any classification and recognition system, which claims near or better than human performance to be immune to small perturbations in the dataset. Researchers found out that neural networks are not very robust to small perturbations and can easily be fooled to pers...

Full description

Bibliographic Details
Main Authors: Sheikh Waqas Akhtar, Saad Rehman, Mahmood Akhtar, Muazzam A. Khan, Farhan Riaz, Qaiser Chaudry, Rupert Young
Format: Article
Language:English
Published: IEEE 2016-01-01
Series:IEEE Access
Subjects:
K-Support norm
robutness
generalization
convolutional neural networks
adversarial
Online Access:https://ieeexplore.ieee.org/document/7795200/

Internet

https://ieeexplore.ieee.org/document/7795200/

Similar Items