** 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
Online Privacy
01/24 Online tracking [Slide]
01/29 Social networks and privacy [Slide] Project selection due
01/31 Designing privacy tools for web browsing [Slide] Project assignment
02/05 Anonymous communication protocols [Slide] Project proposal due
Perception of Privacy
02/07 Westin's privacy index [Slide]
02/12 Privacy attitude [Slide]
Conducting User Study
02/14 Experimental study design [Slide]
02/19 Crowdsourced studies [Slide]
02/21 Qualitative studies and analyzing qualitative data [Slide]
02/26 Analyzing quantitative data [Slide]
02/28 Midterm Exam In class exam Topics covered upto 02/12 (inclusive)
Privacy Regulations
03/05 Privacy acts [Slide]
03/07 Compliance systems [Slide]

Spring Break

No Class

Spring Break

No Class
03/19 Project progress presentation [Slide]
03/21 Project progress presentation [Slide]
Privacy Notice and Choice
03/26 Privacy notice formats [Slide]
03/28 Evaluating privacy notices [Slide]
04/02 Designing usable privacy notices [Slide]
Privacy in IoT
04/04 Privacy preference in IoT [Slide]
04/09 Measuring privacy risks 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 Privacy-aware systems [Slide]
04/23 Final Exam (Tentative)
04/25 Student project presentation
04/30 Student project presentation
05/03 Project Paper Due