Welcome to the Sarus Blog, here we discuss privacy, data protection, data governance, math, machine learning, and much more.
Sarus was selected by Hôpital Foch and Medicen to secure data access for a research challenge
Just released: Sarus python SDK enabling data science on sensitive datasets from usual python libraries while keeping data secure!
Sarus, Microsoft and EY were selected for the techsprint organized by the French financial supervisor
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