Privacy Preserving Machine Learning as a Service
Machine learning algorithms based on neural networks have achieved remarkable results and are being extensively used in different domains. However, the machine learning algorithms requires access to raw data which is often privacy sensitive. To address this issue, we develop new techniques to provid...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | English |
| Published: |
University of North Texas
2020
|
| Subjects: | |
| Online Access: | https://digital.library.unt.edu/ark:/67531/metadc1703277/ |