Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system.
Shixian WenLaurent IttiPublished in: CoRR (2019)
Keyphrases
- parameter space
- neural network
- training algorithm
- multi agent
- training process
- back propagation
- feed forward neural networks
- image space
- latent space
- starting points
- multivariate data
- backpropagation algorithm
- training patterns
- artificial neural networks
- feed forward
- parameter values
- training set
- multi layer perceptron
- neural network training
- training samples
- recurrent neural networks
- fuzzy logic
- search space
- feedforward neural networks
- label noise
- active learning
- riemannian manifolds
- neural nets
- bp neural network
- target function
- neural network model
- feature extraction
- genetic algorithm
- neural network is trained
- machine learning