The Sarus Blog

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

Sarus just released DP-XGBoost

Differentially Private Boosted Trees at scale

Data Sharing with Privacy: Potential and Limitations

Demystifying private data sharing to reap the full value of data

Sarus implements 𝑓-differential privacy in OpenDP

An initiative sponsored by Harvard University

BigGAN deep in Tensorflow 2

A TensorFlow 2 implementation of BigGAN deep neural network

Sarus Joins Societe Generale’s Global Market Incubator

Distributed ML with Dask and Kubernetes on GCP

In just 3 steps 😎

Health Data in the Era of Vaccine Passports or Why All Personal Data needs to be Protected

Understanding privacy with rainbows and magic wands!

A colorful llustration of privacy-preserving data transformations

A Systematic Framework to Assess Anonymization Techniques