Origins of Low-dimensional Adversarial Perturbations.
Elvis DohmatobChuan GuoMorgane GoibertPublished in: CoRR (2022)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- high dimensional data
- data points
- principal component analysis
- feature representation
- euclidean space
- input space
- feature space
- linear subspace
- nonlinear dimensionality reduction
- lower dimensional
- graph embedding
- vector space
- dimension reduction
- data sets
- pairwise distances
- pattern recognition
- feature extraction
- machine learning
- feature vectors
- support vector
- multiscale
- feature selection
- genetic algorithm
- low dimensionality