An Attack-Based Evaluation Method for Differentially Private Learning Against Model Inversion Attack
As the amount of data and computational power explosively increase, valuable results are being created using machine learning techniques. In particular, models based on deep neural networks have shown remarkable performance in various domains. On the other hand, together with the development of neur...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8822435/ |