Improved security for cloud-based machine learning

The outcome is for more efficient security for cloud-based machine learning. The approach comes from the Massachusetts Institute of Technology and it is focused with securing data used in online neural networks. A secondary brief was to boost security while also avoiding significantly slowing down machine runtimes. A problem with many cybersecurity solutions is that they tend to slowdown the very device they aim to protect. The harnessing of machine learning with the cloud is important since more organizations are outsourcing machine learning.