Privacy in Statistics and Machine Learning

Adam Smith

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Spring 2025
Privacy in Statistics and Machine Learning

Spring 2025

Lecture videos (from 2021) can be found in this Google Drive folder.

Date Topics Deliverables
Tue 1/21 Lecture 1: Course Overview

Video: Watch these two MinutePhysics videos (1, 2). They introduce some of the course topics in the context of the US Census.
Lecture Slides: pdf
In-class Exercises: pdf (We did not get to these in class. They are posted for reference.)
=== Unit 1: Reconstruction Attacks ===
Thu 1/23
Lecture 2: Reconstruction Attacks I

Video: part 1, part 2
Lecture Notes: pdf that goes with videos (up through 2.3).
Additional optional reading on reconstruction:

In-class Exercises: pdf
Tue 1/28 Lecture 3: Reconstruction Attacks II

Lecture Notes: pdf (2.4 onward)
Video: part 1, part 2
In-class Exercises: pdf
Thu 1/30 Lecture 4: Differential Privacy Fundamentals I

Lecture Notes: pdf
Lecture Slides (in person lecture): pdf
Video (from 2021, for reference): part 1, part 2, part 3, part 4
Homework 1 out (pdf), due Sunday February 16, 2025.
Tue 2/4 Lecture 5: Differential Privacy Fundamentals II

Lecture Notes: pdf
Video: part 1, part 2, part 3
In-class Exercises: pdf
Thu 2/6 Lecture 6: Exponential Mechanism and Report Noisy Max

Lecture Notes: pdf
Video: part 1, part 2, part 3, part 4,
In-class Exercises: