Protecting Classifiers From Attacks. A Bayesian Approach.
Víctor GallegoRoi NaveiroAlberto RedondoDavid Ríos InsuaFabrizio RuggeriPublished in: CoRR (2020)
Keyphrases
- decision trees
- training data
- linear classifiers
- support vector
- naive bayes
- training set
- countermeasures
- protection mechanisms
- feature set
- supervised classification
- classification method
- machine learning algorithms
- watermarking algorithm
- training examples
- access control
- test set
- security threats
- multiple classifiers
- classification rate
- classification systems
- classification accuracy
- malicious attacks
- denial of service attacks
- classification algorithm
- ensemble classifier
- learning classifier systems
- classification models
- data sets
- svm classifier
- data mining
- neural network