Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
Xingjun MaBo LiYisen WangSarah M. ErfaniSudanthi N. R. WijewickremaGrant SchoenebeckDawn SongMichael E. HouleJames BaileyPublished in: ICLR (2018)
Keyphrases
- intrinsic dimensionality
- dimensionality reduction
- vector space
- noisy data
- high dimensional data
- low dimensional
- lower dimensional
- low dimensional manifolds
- high dimensional
- probability density
- principal component analysis
- singular values
- feature extraction
- data points
- graphical models
- prior knowledge
- feature space
- closed form
- data analysis
- manifold learning
- image segmentation
- machine learning