The Massachusetts Institute of Technology (MIT) has developed a method for securing cloud-based AI systems that encrypts neural networks without slowing them down. In the paper, published in Nature Communications, MIT researchers describe how they used machine learning to create an algorithm that can be trained on millions of data sets and then automatically decrypt them. The innovation is 30 times faster than other methods. As a result, organisations could increase their use of cloud-based neural networks. For example, a hospital could teach AI to spot abnormalities in MRI scans, while protecting patient data.
The Massachusetts Institute of Technology (MIT) has developed a method for securing cloud-based AI systems that encrypts neural networks without slowing them down. MIT takes and produces encrypted data one computation layer at a time, using homomorphic encryption. The innovation is 30 times faster than other methods. As a result, organisations could increase their use of cloud-based neural networks. For example, a hospital could teach AI to spot abnormalities in MRI scans, while protecting patient data.