Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces.
Odelia MelamedGilad YehudaiGal VardiPublished in: NeurIPS (2023)
Keyphrases
- low dimensional
- linear subspace
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- subspace learning
- principal component analysis
- data points
- dimension reduction
- graph embedding
- face recognition
- image space
- subspace clustering
- image registration
- feature space
- multiple views
- high dimensionality
- natural images
- k means