SecureNLP: A System for Multi-Party Privacy-Preserving Natural Language Processing.
Qi FengDebiao HeZhe LiuHuaqun WangKim-Kwang Raymond ChooPublished in: IEEE Trans. Inf. Forensics Secur. (2020)
Keyphrases
- multi party
- privacy preserving
- natural language processing
- information extraction
- privacy preserving data mining
- vertically partitioned data
- machine learning
- privacy preservation
- privacy preserving distributed data mining
- privacy concerns
- record linkage
- data privacy
- horizontally partitioned data
- naive bayesian classification
- private information
- privacy preserving association rule mining
- artificial intelligence
- secure multiparty computation
- fair exchange
- data perturbation
- privacy requirements
- scalar product
- data publishing
- horizontally partitioned
- private data
- privacy issues
- privacy protection
- privacy preserving classification
- privacy sensitive
- sensitive data