809Course · Practitioner
Model Privacy
Protecting training data and users.
Protecting training data and users. Differential privacy, memorization, and membership inference attacks.
- 01
Distinguish training privacy from inference privacy.
- 02
Apply differential privacy.
- 03
Detect memorization.
- 04
Handle a data-subject request against a model.
Prerequisites
- — Program III — Applied ML.
Pacing
~4 hours plus the Capstone.
A Note from the Faculty
If a model can memorize your training set, so can an attacker.