Protecting Student Privacy with Synthetic Data from Generative Adversarial Networks.
Peter BautistaPaul Salvador InventadoPublished in: AIED (2) (2021)
Keyphrases
- synthetic data
- privacy preservation
- real world
- data sets
- privacy issues
- privacy preserving
- real image data
- learning styles
- protection mechanisms
- student learning
- generative model
- mri data
- learning process
- social networks
- personal information
- real life
- data protection
- multi agent
- information loss
- sensitive information
- privacy preserving data mining
- confidential information
- privacy requirements