Robustness of classifiers: from adversarial to random noise.
Alhussein FawziSeyed-Mohsen Moosavi-DezfooliPascal FrossardPublished in: CoRR (2016)
Keyphrases
- random noise
- training data
- support vector
- low signal to noise ratio
- decision trees
- training set
- linear classifiers
- multi agent
- classification systems
- k nearest neighbour
- machine learning algorithms
- computational efficiency
- classification method
- high robustness
- accurate classifiers
- supervised classification
- feature selection
- naive bayes
- machine learning approaches
- svm classifier
- test set
- decision boundary
- classifier ensemble
- majority voting
- training samples
- feature set
- multi class
- knn
- optimum path forest