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More efficient security for cloud-based machine learning

Posted by Massachusetts Institute of Technology on Aug 20th 2018

More efficient security for cloud-based machine learning
A novel encryption method devised by MIT researchers secures data used in online neural networks, without dramatically slowing their runtimes. This approach holds promise for using cloud-based neural networks for medical-image analysis and other applications that use sensitive data.Outsourcing machine learning is a rising trend in industry. Major tech firms have launched cloud platforms that conduct computation-heavy tasks, such as, say, running data through a convolutional neural network (CNN)
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