Robustness of classifiers: from adversarial to random noise.
Alhussein FawziSeyed-Mohsen Moosavi-DezfooliPascal FrossardPublished in: NIPS (2016)
Keyphrases
- random noise
- low signal to noise ratio
- supervised classification
- training data
- decision trees
- support vector
- machine learning algorithms
- multi agent
- classification systems
- classification algorithm
- computational efficiency
- pattern recognition
- k nearest neighbour
- naive bayes
- decision boundary
- linear classifiers
- machine learning
- ensemble learning
- svm classifier
- test set
- training examples
- feature set
- neural network
- classification models
- data points
- multiple classifiers
- lexical features