Denoised Smoothing: A Provable Defense for Pretrained Classifiers.
Hadi SalmanMingjie SunGreg YangAshish KapoorJ. Zico KolterPublished in: NeurIPS (2020)
Keyphrases
- denoising
- noise removal
- support vector
- training data
- decision trees
- training set
- classification systems
- naive bayes
- intrusion detection
- machine learning algorithms
- svm classifier
- image denoising
- noisy images
- multiple classifiers
- machine learning methods
- linear classifiers
- smoothing algorithm
- supervised classification
- classification rate
- feature selection
- test set
- natural images
- multi class
- network security
- roc curve
- text categorization
- binary classifiers
- ensemble classifier
- individual classifiers
- feature space
- objective function
- advanced research projects agency