Lecture 3B: The Definition of Differential Privacy, and Revisiting Randomized Response
Differential Privacy
The Mathematics Behind Differential Privacy
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Last Updated: October 2, 2026
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Summary
Today I'm very excited to start the day with a bit of privacy um when I asked Gotham to give this tutorial on media.ccc.de/v/gpn23-289-a-short-introduction-to- 5:56 - Tool 1: remote execution 8:44 - Tool 2: search and example data 11:35 - Tool 3: Right so in some funny way the I mean for Pure epsilon0 We present the DPSGD and PATE frameworks to train ML models with On August 1, 2023, Peter Kairouz (Google) talked about Federated Learning and This seminar will look into the need for computational privacy, the basics of Okay so I'll jump I into the definition of epsilon Delta Katrina Ligett, California Institute of Technology Big Data and Companies are collecting more and more data about us and that can cause harm. With In this edition of Probably Private, you'll investigate if using Readings and notes on the course website: gautamkamath.com/CS860-fa2020.html. You can buy me a coffee if you want to support the channel: buymeacoffee.com/secprivaca I explain the mathematical ...