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Course Overview

Aug 25
Course Overview
Slides , HW0

Reconstruction Attacks

Aug 27
Reconstruction Attacks (Part 1)
Slides, Note, Reading
Aug 29
Recitation
Sept 1
No Class / Office Hour
Labor Day
Sept 3
Reconstruction Attacks (Part 2)
Slides, Note, Reading
Sept 5
Recitation

Definitions and Basic Techniques

Sept 8
Definition of Differential Privacy
Randomized Response
Note, Slides, Homework 1
Sept 10
Global Sensitivity and the Laplace Mechanism
Reading, Slides, Note
Sept 12
Recitation
HW1
Sept 15
Laplace Mechanism and Sensitivity
Slides, Note,
Sept 17
Properties of DP
Slides, Note
Sept 19
Recitation
Review for Test 1
Sept 22
Exam 1

Privacy in Machine Learning

Sept 24
Intro to ML
Slides, Self-Attention Notes, Blog Post on GPT-2, Intro to ML (Book available through CMU Library)
Sept 29
Privacy Attacks on ML, Part I
Slides, MIA Shadow Models, LIRA Paper
Oct 1
Privacy Attacks on ML, Part II
Intro to Privacy Auditing
Slides, Quantile regression MIA attacks: Classification Models, Diffusion Models, LLMs
Oct 1
Project Phase 1 Released (Due on Oct.20)
Code Repo
Oct 6
Attribute Inference, Approximate DP
Slides, Note
Oct 8
Approximate DP, Gaussian Mechanism
Slides
Oct 12
No class, Fall Break
Homework 2