The OpenDP team is excited to bring you our latest release, OpenDP Library 0.8! 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 Rust on crates.io, or in source form…
Meet the 2023 OpenDP Interns: Nicolas Berrios, Roy Rinberg, and Yanis Vandecasteele
Left to right: Nicolas Berrios, Roy Rinberg, Yanis Vandecasteele Welcome to the second Meet the 2023 OpenDP Interns blog featuring Nicolas Berrios, Roy Rinberg, and Yanis Vandecasteele! Learn more about the three projects they worked on this summer and what they’re doing next below. With the summer coming to a close, we’ll have one last set…
Meet the 2023 OpenDP Fellows: Pauline Maury-Laribiere and Liudas Panavas
OpenDP Visiting Fellows are part-time positions meant for engineers or scholars in industry or academia who wish to learn about, contribute, and engage with OpenDP. To learn more about the program and apply for the next round, click here! For 2023, we have two Fellows: Pauline Maury-Laribiere and Liudas Panavas. Get to know them and…
OpenDP Use Case Q&A w/ Oblivious
Welcome to the OpenDP use case Q&A series, where we explore how our collaborators in the community are using and integrating OpenDP in their work. First up, we have Oblivious and we’ll be chatting with Jack Fitzsimons to learn about all the great work they’re doing in the PETs community. Q: Why don’t you start…
Meet the 2023 OpenDP Interns: Patrick Song and Vicki Xu
Each year, OpenDP offers a summer internship to undergraduate, post-bacc, or graduate students for a 10-week program working on various projects under the OpenDP initiative or the broader privacy tools project. We have eight excellent students joining us this year that we wanted to highlight in a series of blogs to get to know them…
Announcing OpenDP Library v0.7
The OpenDP team is proud to announce the release of OpenDP Library v0.7! 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, forRust on crates.io, or in source form on GitHub….
Introducing OpenDP Library v0.6
Dear OpenDP Community, The OpenDP team is delighted to announce the release of OpenDP Library 0.6! 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 Rust on crates.io, or in…
OpenDP Library v0.5 Overview
Dear OpenDP Community, The OpenDP team is delighted (if a bit tardy) to announce the release of OpenDP Library 0.5! This release is packed with enhancements to make the OpenDP Library more versatile and improve its robustness. The changes cover multiple aspects of the library, broadening the kinds of computations that can be performed, and…
OpenDP Newsletter – March
OpenDP Newsletter – March 2022 by Lindsay Froess…
Introducing OpenDP Library v0.4
Dear OpenDP Community, We’re pleased to release version 0.4 of the OpenDP Library. Highlights include several new measurements and transformations, improved floating point handling, and general code cleanup. The full list of changes can be found in the CHANGELOG. It’s available now on PyPI, crates.io, and GitHub. As always, we look forward to receiving your feedback, which…