Differential Privacy
Privacy & Security
Mathematical guarantee that individual data contributions remain private
What is Differential Privacy?
Adds controlled noise to queries or model updates so that presence/absence of a single record cannot be inferred.
Real-World Examples
- •DP-SGD for training private models
Related Terms
Learn more about concepts related to Differential Privacy