When Machine Learning Models Leak: An Exploration of Synthetic Training Data.
Manel SlokomPeter-Paul de WolfMartha A. LarsonPublished in: PSD (2022)
Keyphrases
- machine learning models
- training data
- machine learning algorithms
- spam filtering
- machine learning approaches
- learning algorithm
- decision trees
- test data
- training examples
- machine learning
- predictive model
- classification accuracy
- supervised learning
- test set
- data sets
- training set
- real world
- naive bayes
- semi supervised learning
- high dimensional
- bayesian networks
- text categorization
- training samples
- unlabeled data
- genetic programming
- support vector machine