Octavian Sima

Accelerating Encrypted Analytics on Confidential Data by 20x

Engineering / By / January 20, 2022

Summary: In this engineering blog post, we discuss technical details surrounding Opaque Systems’ closed source version of Opaque SQL. This project extends Apache Spark SQL with a physical operator layer that runs inside hardware enclaves to protect confidential data in use. However, this latest iteration contains physical operators that are vectorized and are being performed …

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Secure Collaborative Analytics and ML Using MC²

Engineering / By / February 17, 2023

We are excited to announce the initial release of the MC² Project, a collection of open source tools for computing and collaborating on confidential data. Developed at UC Berkeley’s RISELab, MC² (Multi-Party Collaboration and Coopetition) enables rich analytics and machine learning on encrypted data, ensuring that data remains concealed even when it’s being processed. The data in use remains …

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Run Spark SQL on Encrypted Data

How to Run Spark SQL Queries on Encrypted Data

Knowledge Base / By / October 18, 2022

TL;DR: We are excited to present Opaque SQL, an open-source platform for securely running Spark SQL queries on encrypted data-in-use. Originally built by top systems and security researchers at UC Berkeley, the platform uses hardware enclaves to securely execute queries on private data in an untrusted environment. Opaque SQL partitions the codebase into trusted and untrusted sections to improve runtime …

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