The Sarus Blog

Marketing segmentation without data access

You don’t need access to confidential customer data to build your AI-based marketing segments, here’s how!

The protection of grouping keys in the context of differentially private SQL

[Just released] AI-based synthetic data generator!

A new Deep-Learning based synthetic data generator for an even smoother analysis experience when you can't see the data!

ML with Differential Privacy using JAX and DP-SGD

A tutorial on JAX: a great tool for DP-SGD

Leverage Harvard’s OpenDP to run analytics with user-level differential privacy

A tutorial on user-level privacy

[Product update] Sarus supports relational tables!

The whole Sarus workflow now supports relational data for analysis with privacy guarantees.

Attacking smart meter data to design better privacy solutions

How DP protects against inference attacks on smart meters

[Product update] Sarus now allows for privacy-safe analytics on Big data sources!

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”