Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers?
Stefano MelacciGabriele CiravegnaAngelo SotgiuAmbra DemontisBattista BiggioMarco GoriFabio RoliPublished in: CoRR (2020)
Keyphrases
- multi label
- multi label classification
- domain knowledge
- class labels
- text categorization
- classifier training
- binary classification
- image classification
- graph cuts
- image annotation
- multi label image annotation
- training data
- classification algorithm
- text classification
- max margin
- learning tasks
- meta level
- binary classifiers
- multi instance
- naive bayes
- multi label learning
- multiple labels
- decision trees
- semi supervised learning
- multiclass classification
- prior knowledge
- training set
- support vector
- svm classifier
- machine learning algorithms
- object recognition
- markov random field
- higher order
- multi class
- classification accuracy
- pairwise
- label assignment
- hierarchical text categorization
- information retrieval