Privacy-Preserving Classification on Deep Learning with Exponential Mechanism
Abstract How to protect the privacy of training data in deep learning has been the subject of increasing amounts of related research in recent years.Private Aggregation of Teacher Ensembles (PATE) alesis vi61 uses transfer learning and differential privacy methods to provide a broadly applicable data privacy framework in deep learning.PATE combines