** Lecture topics and readings are subject to change as the semester evolves.

Date Topic Reading Note
01/08 Course overview and introduction [Slide]
Database Privacy
01/10 Inference attacks: Reidentification, Web-based inferences [Slide]
01/15 k-anonymity, l-diversity, t-closeness [Slide]
01/17 Differential Privacy [Slide]
01/22 Private Information Retrieval (PIR) [Slide] Tutorial
Homework #1 released in Moodle
Online Privacy
01/24 Online tracking [Slide]
01/29 Privacy tools for web browsing [Slide] Project selection due
01/31 Social networks and privacy [Slide] Project assignment
02/05 Anonymous communication[Slide] Homework #2 released.
Perception of Privacy
02/07 Westin's privacy index [Slide] Project proposal due
02/12 Privacy attitude [Slide]
Conducting User Study
02/14 Experimental study design [Slide]
02/19 Ways to conduct a user study [Slide]
02/21 Analyzing qualitative and quantitative data [Slide]
02/26 No class
02/28 Midterm Exam In class exam Topics covered upto 02/12 (inclusive)
Privacy Regulations/Acts
03/05 Privacy acts [Slide]
03/07 Compliance systems [Slide]

Spring Break

No Class

Spring Break

No Class
03/19 Project progress presentation 4 group presentations
03/21 Project progress presentation 3 group presentations
Privacy Notice and Choice
03/26 Dimensions of privacy notice [Slide]
03/28 Evaluating privacy notices [Slide]
Privacy in Emerging Technologies
04/02 Bitcoin and Privacy [Slide] Video lecture
04/04 Privacy risks in IoT [Slide]
04/09 Privacy perceptions in IoT[Slide]
Machine learning and Privacy
04/11 Privacy implications of machine learning models [Slide]
04/16 Fairness and auditing of automated systems [Slide]
04/18 Using ML in privacy decisions [Slide]
04/23 Final Exam In class exam Topics covered from 02/14 (i.e, starting from user studies) to the end
04/25 Student project presentation 3 group presentations
04/30 Student project presentation 4 group presentations
05/03 Project Paper Due