The OpenDP team is excited to bring you our latest release, OpenDP Library 0.12! The OpenDP Library is a modular collection of algorithms for building privacy-preserving applications, with an extensible approach to tracking privacy, and a vetted implementation. It is available as binaries for Python on PyPI, for R on R-universe, for Rust on crates.io, or in source…
Applications are now open for the 2025 OpenDP Interns and Visiting Fellows program!
We are pleased to announce the 2025 OpenDP Interns and Visiting Fellows call for applications! Starting today, we are seeking interested individuals that are interested in contributing to and helping grow the OpenDP library and community. OpenDP Interns are typically undergraduate, post-bacc, or graduate students but those at other stages are welcome to apply. It is preferred…
DP Wizard: An Easy Way to Get Started with Differential Privacy and OpenDP
OpenDP is pleased to announce the first release of DP Wizard, an interactive tool to explore the effect of different parameter choices, and an assistant for implementing those choices with the OpenDP library. DP Wizard builds on what we’ve learned from DP Creator, but offers a simplified development and install process and a streamlined workflow. We would…
How OpenDP and PySyft ensured user privacy for the Christchurch Call report
A recent publication of a comprehensive technical report marking the completion of Phase 1 of the Christchurch Call Initiative on Algorithmic Outcomes (CCIAO) was announced last month which highlights advancements in AI Auditing and safety, allowing external researchers to conduct privacy-preserving audits of production recommender algorithms at LinkedIn and Daily Motion using PySyft and OpenDP….