Orthogonal Deep Models as Defense Against Black-Box Attacks

Orthogonal Deep Models as Defense Against Black-Box Attacks

Deep learning has demonstrated state-of-the-art performance for a variety of challenging computer vision tasks. On one hand, this has enabled deep visual models to pave the way for a plethora of critical applications like disease prognostics and smart surveillance. On the other, deep learning has al...

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Bibliographic Details
Main Authors: Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
adversarial examples
adversarial perturbations
orthogonal models
robust deep learning
Online Access:https://ieeexplore.ieee.org/document/9129688/

Internet

https://ieeexplore.ieee.org/document/9129688/

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