The Dilemma Between Dimensionality Reduction and Adversarial Robustness.
Sheila AlemanyNiki PissinouPublished in: CoRR (2020)
Keyphrases
- dimensionality reduction
- high dimensional
- pattern recognition and machine learning
- data representation
- high dimensional data
- structure preserving
- principal component analysis
- feature extraction
- multi agent
- computational efficiency
- principal components
- low dimensional
- high dimensionality
- manifold learning
- high robustness
- feature selection
- genetic algorithm
- euclidean distance
- input space
- random projections
- principal components analysis
- dimensionality reduction methods
- pattern recognition