The Sarus Blog

Sarus powers Hôpital Foch & Medicen Data Challenge

Sarus was selected by Hôpital Foch and Medicen to secure data access for a research challenge

Introducing Sarus Private Learning SDK!

Just released: Sarus python SDK enabling data science on sensitive datasets from usual python libraries while keeping data secure!

Sarus, Microsoft, and EY project selected by ACPR as part of PET techsprint

Sarus, Microsoft and EY were selected for the techsprint organized by the French financial supervisor

Maxime Agostini's interview on Cybernews

Maxime Agostini, Sarus: “as organizations provide more data to analysts, the likelihood of one user being compromised is growing”

We’re speaking at PEPR ‘22

about compiling Python Programs into Differentially Private Ones

Spring ‘22 Paris Private AI Meetup

On June 8th, Sarus held an informal meetup to exchange big ideas around theory and applications of Differential Privacy

Sarus and NIST release SDNist

An open-source python library to benchmark differentially private synthetic data generators

Sarus on top of HackerNews!

We just released an open demo, try it out!

Train XGBoost models on patient data with no privacy risk

A practical guide to leverage DP-XGBoost, the differentially private version of XGBoost open-sourced by Sarus

Sarus is joining Y Combinator!

It is an honor to be part of the YC W22 batch

Sarus now live on Microsoft Azure!

Sarus is just one click away on the Microsoft Azure Marketplace