Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach.
Rajeev SahayRehana MahfuzAly El GamalPublished in: CoRR (2018)
Keyphrases
- denoising
- dimensionality reduction
- image denoising
- noisy images
- natural images
- high dimensionality
- data representation
- pattern recognition
- high dimensional
- high dimensional data
- total variation
- countermeasures
- feature extraction
- feature space
- linear discriminant analysis
- pattern recognition and machine learning
- low dimensional
- image processing
- face detection
- principal component analysis
- multi agent
- wavelet domain
- denoising algorithm
- data points
- linear dimensionality reduction
- feature selection
- gaussian noise
- structure preserving
- noise removal
- random projections
- principal components
- wavelet packet
- watermarking scheme
- denoising methods
- watermarking algorithm
- security mechanisms
- dimensionality reduction methods
- wavelet denoising
- neural network
- computer vision
- nonlinear dimensionality reduction
- security risks
- manifold learning