Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning.
Tamas MadlWeijie XuOlivia ChoudhuryMatthew HowardPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- machine learning
- training data
- privacy protection
- privacy preserving data mining
- learning algorithm
- multi party
- privacy preserving data mining algorithms
- sensitive information
- privacy preservation
- data sets
- private information
- active learning
- decision trees
- privacy concerns
- support vector
- record linkage
- data privacy
- privacy guarantees
- privacy requirements
- vertically partitioned data
- privacy preserving association rule mining