Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization

Francisco Aguilera-Martínez, Fernando Berzal

Training machine learning models based on neural networks requires large datasets, which may contain sensitive information. The models, however, should not expose private informati…