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A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations.
Saeid Asgari Taghanaki
Kumar Abhishek
Shekoofeh Azizi
Ghassan Hamarneh
Published in:
CoRR (2019)
Keyphrases
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case study
high dimensional feature space
neural network
high dimensional
low dimensional
kernel function
manifold learning
parameter space
finite dimensional
learning vector quantization
riemannian metric