Schedule

** Lecture topics and readings are subject to change as the semester evolves. Slides will be uploaded right after class.

Date Topic Reading Note
01/07 Introduction and course overview [Slide]
Topic: Database Privacy
01/09 Data De-anonymization [Slide]
01/14 k-anonymity [Slide]
01/16 l-diversity, t-closeness [Slide]
01/21 Introduction to differential privacy [Slide] Tutorial on Differential Privacy
01/23 Differential privacy (Continued) [Slide]
01/28 Private Information Retrieval (PIR) [Slide]
Topic: Online Privacy
01/30 Online tracking: stateful [Slide]
02/04 Online tracking: stateless [Slide]
02/06 Privacy tools for web browsing [Slide]
02/11 Anonymous communication [Slide]
02/13 Tor network [Slide]
02/18 Social networks and privacy [Slide]
02/20 Exam Review In class discussion
02/25 First Midterm Exam In class exam Topics covered upto 02/13 (inclusive)
Topic: Machine learning and Privacy
02/27 Privacy implications of machine learning models [Slide]
03/03 Privacy perserving machine learning [Slide]
03/05 Fairness and auditing of automated systems [Slide]
03/10 Spring Break
03/12 Spring Break
03/17 Extended Spring Break (COVID-19)
03/19 Extended Spring Break (COVID-19)
Topic: Legal Aspects of Privacy
03/24 Privacy acts and frameworks [Slide]
03/26 Privacy notices [Slide]
03/31 Privacy compliance [Slide]
Topic: Perception of Privacy
04/02 Westin's privacy index [Slide]
04/07 Factors influencing privacy attitude [Slide]
04/09 Modeling users' privacy preferences [Slide]
Topic: Inference Attacks
04/14 Bitcoin and privacy [Slide] Video lecture
bitcoin-what-is-it
bitcoin
04/16 Network-level Inference attacks [Slide]
04/21 Acoustic and Motion sensor based Inference attacks [Slide]
04/23 Course and Exam Review In class discussion
04/30 Final Exam 8-11am in class Full syllabus