Differential Privacy playbook

🔊 Differential Privacy playbook Built with Drag image to reposition 🔊 Differential Privacy playbook Table of Content What is Differential Privacy General Idea Central VS Local Approximate VS Pure Mechanism Are you ready for DP Compute Data What type of data do you have? How is your data stored? Where is your data stored? Do you have sensitive data? How to Implement DP How to pick your parameters How to pick your mechanism Tools and libraries exist What are privacy-preserving technologies? What is differential privacy? General idea Differential Privacy is a privacy preserving technology that uses beautiful math to make privacy guarantees that ensure a certain level of protection of your data. These guarantees are met by adding noise to your raw data such that if there is ever any attack on your database or model, the attackers will receive data that doesn’t reveal any meaningful information. Differential privacy is most effective in scenarios where precise access to individu

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• Rishi Kothari