Origins of Low-Dimensional Adversarial Perturbations.
Elvis DohmatobChuan GuoMorgane GoibertPublished in: AISTATS (2023)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- high dimensional data
- principal component analysis
- manifold learning
- feature space
- dimension reduction
- euclidean space
- data points
- multi agent
- lower dimensional
- feature representation
- input space
- low dimensionality
- vector space
- linear dimensionality reduction
- graph embedding
- decision trees
- pairwise distances
- latent space
- linear subspace
- similarity measure