Robustness of Classifiers to Universal Perturbations: A Geometric Perspective.
Seyed-Mohsen Moosavi-DezfooliAlhussein FawziOmar FawziPascal FrossardStefano SoattoPublished in: ICLR (Poster) (2018)
Keyphrases
- algorithmic information theory
- decision trees
- viewpoint
- feature selection
- linear classifiers
- supervised classification
- ensemble learning
- machine learning methods
- computational efficiency
- training data
- geometric and photometric transformations
- machine learning algorithms
- test set
- classification algorithm
- classification method
- training set
- support vector
- training examples
- machine learning
- ensemble classifier
- feature set
- training samples
- classification rate
- classification process
- binary classifiers
- object detection
- classifier ensemble
- majority voting
- classification decisions
- manually labeled training data