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Resources for Technical Privacy

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Resources for Technical Privacy

Roy Rinberg
Sep 24, 2021
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Resources for Technical Privacy

technicallyprivate.substack.com

I’ve been spinning up on privacy for a little while now, here are some resources I’ve found helpful:

Summaries

  • OpenDP Documentation

  • DifferentialPrivacy.org

Textbooks

  • The Algorithmic Foundations of Differential Privacy

  • Differential Privacy: From Theory to Practice

  • Programming Differential Privacy

Blog Series

  • Damien Desfontaines

  • DifferentialPrivacy.org

  • NIST

Course Materials

  • Programming Differential Privacy - Joe Near (I really like this one. It’s a quick start for programmers)

  • Algorithms for Private Data Analysis - Gautam Kamath

  • The Algorithmic Foundations of Data Privacy - Aaron Roth

  • Privacy in Statistics and ML - Adam Smith and Jonathan Ullman

  • Applied Privacy for Data Science - James Honaker & Salil Vadhan

  • Differential Privacy - Marco Gaboardi

  • Foundations of Privacy - Moni Naor

Informal Educational Materials

  • What is Differential Privacy Basics - Medium

Less Technical Primers

  • Differential Privacy: A Primer for a Non-Technical Audience

  • Joe Near - Programming Differential Privacy (This is linked above, it’s semi-technical, but it really only requires computer science background, not a mathematical one.)

Code

  • OpenDP github

  • Opacus (pytorch opensoure DP library for Deep Learning)

Community

  • OpenDP

  • Harvard Privacy tools

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