Calendar
Course Overview
Privacy Attacks
Definitions and Basic Techniques
Definitions and Basic Techniques
- Sept 18
- Laplace Mechanism and Properties of DP
- Slides, Note
- Sept 20
- Properties of DP, Selection problem
- Slides, Note
- Sept 22
- Recitation Review on Laplace, DP properties, and HW1
Properties and Mechanisms
Other notions of DP and Gaussian Mechanism
Differential Privacy and Machine Learning
Differential Privacy and Machine Learning
Privacy for Distributed Data
- Nov 6
- Local differential privacy (part 1)
- Slides
- Nov 8
- Local differential privacy (part 2)
- Slides
- Nov 13
- Federated Learning
- Slides
Private Synthetic Data
- Nov 15
- Private Synthetic Data (Part 1)
- Slides
- Nov 20
- Private Synthetic Data (Part 2)
and applications to reconstruction attacks - Slides
Privacy Review, Intro to Fairness
Fairness in Big data
- Dec 4
- Fairness metrics, continued
- Slides
- Dec 6
- Course Review
- Slides