Privacy-utility equilibrium data generation based on Wasserstein generative adversarial networks.
Hai LiuYouliang TianChanggen PengZhenqiang WuPublished in: Inf. Sci. (2023)
Keyphrases
- data generation
- differential privacy
- privacy requirements
- active learning
- privacy preserving
- data streams
- utility function
- streaming data
- generative model
- high throughput
- personal information
- unsupervised learning
- social networks
- learning algorithm
- machine learning
- change detection
- sensitive information
- low dimensional