Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
Xingjun MaBo LiYisen WangSarah M. ErfaniSudanthi N. R. WijewickremaMichael E. HouleGrant SchoenebeckDawn SongJames BaileyPublished in: CoRR (2018)
Keyphrases
- intrinsic dimensionality
- dimensionality reduction
- noisy data
- high dimensional data
- vector space
- low dimensional manifolds
- low dimensional
- lower dimensional
- high dimensional
- principal component analysis
- high dimensionality
- pattern recognition
- probability density
- singular values
- data mining
- feature space
- prior knowledge
- data points
- bayesian networks
- image processing
- computer vision
- neural network