Adversarial robustness via robust low rank representations.
Pranjal AwasthiHimanshu JainAnkit Singh RawatAravindan VijayaraghavanPublished in: NeurIPS (2020)
Keyphrases
- low rank
- rank minimization
- robust principal component analysis
- low rank matrix
- low rank subspace
- low rank representation
- convex optimization
- matrix factorization
- missing data
- linear combination
- singular value decomposition
- high order
- kernel matrix
- semi supervised
- high dimensional data
- matrix completion
- matrix decomposition
- pairwise
- low rank matrices
- object detection
- feature space
- low rank and sparse
- small number
- norm minimization
- singular values
- higher order
- computer vision