A privacy-preserving word embedding text classification model based on privacy boundary constructed by deep belief network.
Bo MaEdmund M.-K. LaiWei Qi YanJinsong WuPublished in: Multim. Tools Appl. (2024)
Keyphrases
- privacy preserving
- text classification
- n gram
- privacy preserving data mining
- privacy preservation
- deep belief networks
- private information
- vertically partitioned data
- differential privacy
- unsupervised learning
- privacy requirements
- text mining
- sensitive information
- privacy concerns
- text categorization
- privacy protection
- secure multiparty computation
- bag of words
- privacy sensitive
- machine learning
- feature selection
- privacy issues
- privacy guarantees
- privacy preserving association rule mining
- sensitive data
- preserving privacy
- data publishing
- private data
- labeled data
- horizontally partitioned data
- personal data
- data privacy
- knn
- data perturbation
- record linkage
- privacy preserving classification
- scalar product
- deep learning
- homomorphic encryption
- data anonymization
- learning algorithm