Privacy in the World of Big Data

Schedule and Reading Assignments

Assignments are posted by Friday morning and are due by 2pm on the Wednesday preceding class.

You are welcome to discuss the readings and assignments with fellow students, and use other resources, but write-ups should be your own and should acknowledge all discussions and resources used.


Date and Topic Readings Assignments due
8/26
Introduction
Class Material:
9/2
De-anonymization as science. k-anonymity, l-diversity.
Required Reading: Class Material: Assignment 1
9/9
Differential privacy and Properties
Required Reading:
  • R. Shokri et al: Membership inference attacks against ML models. Paper and Video by V. Shmatikov.
Class Material:
Assignment 2
9/16
Randomized Response and the Laplace Mechanism
Class Material: Assignment 3
9/23
Randomized Response Generalized
Class Material: Assignment 4
9/30
Laplace optimality. Exponential mechanism
Class Material: Assignment 5
10/7
Exponential mechanism
Class Material: Assignment 6 (due by classtime)
10/21
DP for multiple queries
Class Material: Assignment 7
11/4
DP and Machine Learning
11/11
Fingerprinting in the Web
  • Guest lecture by Marc Juarez
Project Proposal due Nov 8
11/18
Tracking and fingerprinting online and on mobile devices. Anti-tracking measures.
Project progress report (due Nov 22)
12/2
Fairness, accountability and transparency in ML
Final project report (due Dec 10)