Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients.
Andrew Slavin RossFinale Doshi-VelezPublished in: CoRR (2017)
Keyphrases
- neural network
- pattern recognition
- desired output
- multi agent
- fuzzy logic
- artificial neural networks
- back propagation
- multilayer perceptron
- feed forward
- neural network model
- self organizing maps
- user input
- prediction accuracy
- case study
- image processing
- genetic algorithm
- computational efficiency
- nonlinear functions
- activation function
- input variables
- network architecture
- training algorithm
- fuzzy systems
- multi layer
- neural nets
- rule base
- fault diagnosis
- support vector machine
- information retrieval