GLRP: Guided by Layer-wise Relevance Propagation – Selecting Crucial Neurons in Artificial Neural Networks

Author:

Bahnsen Fin H.1,Berger Bernhard J.2,Fey Görschwin2

Affiliation:

1. University Medicine Essen,Institute for AI in Medicine,Essen,Germany,45131

2. Hamburg University of Technology,Institute of Embedded Systems,Hamburg,Germany,21073

Publisher

IEEE

Reference22 articles.

1. Dropout: a simple way to prevent neural networks from overfitting;srivastava;The Journal of Machine Learning Research,2014

2. Early stopping-but when?;prechelt;Neural Networks Tricks of the Trade,1998

3. Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples;athalye;International Conference on Machine Learning,2018

4. Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

5. Fault injection attack on deep neural network

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