[TedTed]

This looks exciting, thank you for sharing! Implementing differential privacy correctly is famously difficult and easy to get wrong. Will you be making the privacy-critical part of your code available publicly for people to audit?

[ngrislain]

You are absolutely right, we are leveraging many open-source bricks to build our product, so that they can be reviewed, mainly:

- https://github.com/google/differential-privacy (for basic mechanisms and PLD accounting)

- https://github.com/tensorflow/privacy (for DP-SGD and RDP accounting)

- https://github.com/opendp (for our SQL module)

We actively contribute to some of them.

We also open-sourced some tech bricks we are using:

- https://github.com/sarus-tech/dp-xgboost (see also https://arxiv.org/pdf/2110.12770.pdf)

We plan to continue building trust in the tools we are using by publishing some of them.