Utility-aware Privacy Perturbation for Training Data.
Xinjiao LiGuowei WuLin YaoZhaolong ZhengShisong GengPublished in: ACM Trans. Knowl. Discov. Data (2024)
Keyphrases
- training data
- differential privacy
- privacy guarantees
- privacy requirements
- privacy preserving
- data perturbation
- data anonymization
- learning algorithm
- privacy preserving data mining
- perturbation method
- private data
- privacy preservation
- decision trees
- personal information
- test data
- supervised learning
- privacy protection
- privacy aware
- training process
- training set
- identity management
- utility function
- anonymized data
- data sets
- data security
- training instances
- location privacy
- training dataset
- data privacy
- prior knowledge
- sensitive information
- labeled data
- training examples
- expected utility
- data mining
- disclosure risk
- private information
- privacy concerns
- noisy data
- data publishing
- generalization error
- speech recognition
- data sharing
- user privacy
- privacy issues
- classification accuracy
- machine learning