Secure Enclaves and ML using MC²

Written by chester | Published 2021/06/15
Tech Story Tags: security | privacy | data-science | machine-learning | data-analytics | sql | collaboration | computer-science

TLDR UC Berkeley’s RISELab announces the MC² Project, a collection of open-source tools for computing and collaborating on confidential data. Gartner predicts that by 2025, 50% of large organizations will adopt privacy-enhancing computation for processing data in untrusted environments and multiparty data analytics use cases. The data in use remains hidden from the server running the job, allowing confidential workloads to be offloaded to third parties or cloud providers. This not only protects confidential data from intrusions but also enables secure collaboration.via the TL;DR App
no story
Written by chester | Co-Founder at Opaque Systems
Published by HackerNoon on 2021/06/15
ABOUTHow hackers start their afternoons. We publish tech stories and build publishing software.

READEntirely free library read by hundreds of millions to learn anything about any technology.

WRITEHackerNoon elevates quality technology writing far and wide across the interwebs.

PARTNERHackerNoon works directly with tech companies to place ads by content relevancy