Calendar & Syllabus

Week 1 - Introduction and Privacy Attacks

Jan 29

Introduction & Logistics

Slides   Reading - Sec. 1.1-1.3 of DPAI Book Extra - Narayanan & Shmatikov (2008)

HW 0 released HW0 PDF

Jan 21

Privacy Attacks - Membership Inference

Required - Ch. 5 of DPAI Book Extra - Shokri et al. (2017), Carlini et al. (2021)

Jan 22

Privacy Attacks - Data Reconstruction

Required - Hayes et al. (2025) Extra - Ahmed et al. (2026)

Week 2 - Differential Privacy Basics I

Jan 28

Introduction to differential privacy (DP)

Reading - Sec. 1.4 of DPAI Book Extra - Sec. 1.4-1.6 of Vadhan

Jan 29

Class Canceled

Jan 30

HW 0 due

Week 3 - DP Basics

Feb 4

DP and membership inference

Reading - Sec. 5.4.2 of DPAI book. Proof: Theorem 2.1 of Kairouz et al.

Feb 5

DP - basic composition

Reading - Sec. 3.2 of DPAI book

Week 4 - DP Basics

Feb 9

Lab PyTorch Review

Additional tutorials

Feb 11

Privacy Loss Distribution

Reading - Sec. 3.3 and 3.4 of DPAI book

Feb 12

Concentration of measure

Reading - Duchi’s notes, Sec. 1 - 3 of Rivasplata’s note. Detailed reading (optional) - Chap. 2 of Vershynin’s HDP book

Week 5 - Concentrated DP, Amplification

Feb 16

Lab Privacy Accounting

dp-accounting library

Feb 18

Concentrated DP & advanced composition

Reading - Sec. 3.4.1 and 3.4.2 of DPAI book

Feb 19

Amplification by Subsampling

Reading - Sec. 3.6.1-3.6.3 of DPAI book