Boosting Higher-Order Correlation Attacks by Dimensionality Reduction.
Nicolas BruneauJean-Luc DangerSylvain GuilleyAnnelie HeuserYannick TegliaPublished in: IACR Cryptol. ePrint Arch. (2014)
Keyphrases
- higher order
- dimensionality reduction
- unsupervised feature learning
- feature selection
- high order
- data representation
- natural images
- principal component analysis
- low dimensional
- high dimensional data
- countermeasures
- feature extraction
- structure preserving
- data points
- pairwise
- manifold learning
- high dimensionality
- feature space
- high dimensional
- machine learning
- correlation coefficient
- conditional random fields
- pattern recognition and machine learning
- malicious attacks
- linear discriminant analysis
- data sets
- lambda calculus
- markov random field
- watermarking scheme
- pattern recognition
- malicious users
- low order
- linear dimensionality reduction
- security threats
- singular value decomposition
- learning algorithm
- anomaly detection
- principal components
- security risks
- lower order
- nonlinear dimensionality reduction
- kernel pca
- ensemble learning
- metric learning
- ensemble methods