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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
You can find the end-to-end code on Github, and a diff showing all the changes.
One of the most durable techniques to protect user privacy is through differential privacy. In a previous post, we explored how to build an Apache Beam pipeline that extracted and counted ngrams from HackerNews comments. Today, we'll take the same pipeline and upgrade it with some differential privacy goodness using Privacy-on-Beam from Google's differential privacy library.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.
Related posts
- Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy
- Google releases differential privacy pipeline for Python
- Google AI Releases A New Differentially Private Clustering Algorithm
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- Show HN: Qrlew, simple SQL to SQL-with-privacy written in Rust