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CS 5436 / INFO 5303 (FA24): Privacy in the Digital Age

Course Information

Overview

This course surveys the current state of digital privacy from multiple perspectives, including technology, philosophy, ethics, law, and policy. The course holds that privacy poses equally difficult challenges to technologists, policy makers, and ethicists. In order to make progress recognizing privacy threats, and protecting against them, representatives from all these domains must understand what privacy means in their respective domains as well as the mutual impacts of the domains on one another. The course will review key technologies , including web and mobile tracking, location tracking, privacy engineering, data analytics and differential privacy, facial recognition, and more. It will also introduce students to differing approaches to privacy, including technical, empirical, legal, and ethical. When addressing privacy threats in these areas, as well as potential solutions, the course sets out to pair a review of relevant technologies with a review of associated considerations in law and policy, ethics, and social sciences. Students will be expected to apply themselves to both the technical and nontechnical material with equal energy and enthusiasm.

Grading Policy

Grading is based on homeworks (72%), a take-home final exam (18%) and in-class attendance and participation (10%).

Logistics
  • Time: Tu / Th, 10:10 - 11:25am
  • Location: Bloomberg 161X
Staff
Office Hours
  • M, 11-12pm [Zoom] (Hauke)
  • Th, 3-4pm [Bloomberg 338 | Zoom] (Rishi)
Textbook
Nissenbaum. "Privacy in Context".

Assignments

Instructions

Because the study of privacy benefits from different disciplinary perspectives, all assignments will include a required section and a take-your-pick section. Both sections include a mix of CS and INFO problems.

Assignments
Assignment #1
Assign. #1
A.1
Due: 9/24 9/24 9/24
Assignment #2
Assign. #2
A.2
Due: 10/22 10/22 10/22
Assignment #3
Assign. #3
A.3
Due: 11/12 11/12 11/12
Assignment #4
Assign. #4
A.4
Due: 12/5 12/5 12/5
Final Exam
Final
Final
Due: 12/9 12/9 12/9

Schedule

Lecture Reading Slides
8/27 Course overview.
8/29 Web tracking and online advertising.
9/3 Web Fingerprinting.
9/5 Ethical and philosophical approaches to privacy.
9/10 Contextual integrity (part 1).
9/12 Mobile tracking and Fingerprinting.
9/17 Cross-device tracking. Data brokers.
9/19 Privacy puzzles and paradoxes.
9/24 Location.
9/26 Profiling AdTech.
10/1 Contextual integrity (part 2).
  • Read: Privacy in Context Chapter 8.
10/3 End-2-end secure communications and "going dark".
10/8 Anonymity networks and censorship resistance.
10/10 Privacy policies.
10/17 Mythic privacy solutions.
10/22 Biometrics and face recognition.
10/24 U.S. legal landscape.
10/29 Privacy and the US 4th amendment.
10/31 Privacy harm (“torts”).
11/5 Genomic privacy.
11/7 Usable privacy.
11/12 Data anonymization and re-identification.
11/14 Introduction to differential privacy.
11/19 Data analytics with differential privacy.
11/21 Privacy in machine learning.
11/26 Applying contextual integrity to cases.
  • In class activity.
  • Review: Privacy in Context Chapters 7 and 8.
12/3 How cars spy on us.
  • Guest Lecture: Kashmir Hill, The New York Times.
12/5 Privacy in IoT.