On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks.
Peter LangenbergEmilio Rafael BaldaArash BehboodiRudolf MatharPublished in: CoRR (2019)
Keyphrases
- low rank
- linear combination
- neural network
- robust principal component analysis
- missing data
- matrix factorization
- low rank matrix
- singular value decomposition
- convex optimization
- rank minimization
- matrix decomposition
- matrix completion
- semi supervised
- kernel matrix
- high dimensional data
- high order
- data matrix
- trace norm
- low rank matrices
- pattern recognition
- singular values
- small number
- image sequences
- non rigid structure from motion
- minimization problems
- affinity matrix
- higher order