MIT researchers have developed a new method for securing data in neural networks without slowing their runtimes, which they presented at the USENIX Security Conference. According to the researchers, this approach, called GAZELLE, will be useful for using cloud-based neural networks for medical-image analysis or other areas that work with sensitive data. The approach was … continue reading
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