DefensiveDR: Defending against Adversarial Patches using Dimensionality Reduction.
Nandish ChattopadhyayAmira GuesmiMuhammad Abdullah HanifBassem OuniMuhammad ShafiquePublished in: CoRR (2023)
Keyphrases
- dimensionality reduction
- principal component analysis
- high dimensional data
- data representation
- high dimensional
- low dimensional
- image patches
- principal components
- feature space
- feature selection
- feature extraction
- high dimensionality
- random projections
- nonlinear dimensionality reduction
- dimensionality reduction methods
- pattern recognition
- manifold learning
- input space
- metric learning
- lower dimensional
- natural images
- multi agent
- data points
- kernel pca
- pattern recognition and machine learning
- neural network
- linear discriminant analysis
- data sets
- data mining
- euclidean distance
- preprocessing step
- linear projection
- principal components analysis
- higher order
- structure preserving
- graph embedding
- supervised dimensionality reduction
- dimension reduction
- regular grid
- intrinsic dimensionality
- learning algorithm
- text categorization
- sparse representation
- singular value decomposition