Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack.
Raksha RamakrishnaGyörgy DánPublished in: CoRR (2022)
Keyphrases
- class labels
- training data
- unseen data
- training and testing data
- classification accuracy
- classification algorithm
- supervised learning
- class membership
- training set
- labeled data
- training examples
- multi label
- training and test data
- data sets
- training dataset
- support vector machine
- test data
- data samples
- naive bayes
- feature set
- test set
- labeled training data
- class distribution
- labeled images
- learning algorithm
- classification models
- unlabeled data
- semi supervised learning
- base classifiers
- decision boundary
- labeled and unlabeled data
- class probabilities
- training samples
- labeled samples
- roc curve
- feature subset
- individual classifiers
- small number
- highest accuracy
- decision trees
- sufficient training data