When Machine Learning Models Leak: An Exploration of Synthetic Training Data.
Manel SlokomPeter-Paul de WolfMartha A. LarsonPublished in: CoRR (2023)
Keyphrases
- machine learning models
- training data
- machine learning algorithms
- spam filtering
- learning algorithm
- machine learning approaches
- data sets
- decision trees
- training set
- machine learning
- supervised learning
- real world
- learning models
- classification models
- test data
- labeled data
- prior knowledge
- training examples
- training samples
- classification accuracy
- predictive model
- neural network
- naive bayes
- machine learning methods
- learning problems
- feature vectors
- information retrieval