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”
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
Demystifying private data sharing to reap the full value of data