Welcome to the Sarus Blog, here we discuss privacy, data protection, data governance, math, machine learning, and much more.
Maxime Agostini, Sarus: “as organizations provide more data to analysts, the likelihood of one user being compromised is growing”
about compiling Python Programs into Differentially Private Ones
On June 8th, Sarus held an informal meetup to exchange big ideas around theory and applications of Differential Privacy
An open-source python library to benchmark differentially private synthetic data generators
A practical guide to leverage DP-XGBoost, the differentially private version of XGBoost open-sourced by Sarus
It is an honor to be part of the YC W22 batch
Sarus is just one click away on the Microsoft Azure Marketplace
Differentially Private Boosted Trees at scale
Demystifying private data sharing to reap the full value of data
An initiative sponsored by Harvard University
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