A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations

Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi +1

The linear and non-flexible nature of deep convolutional models makes them vulnerable to carefully crafted adversarial perturbations. To tackle this problem, we propose a non-linea…