Schedule

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

Date Topic Reading Note
01/19 Introduction and course overview [Slide]
Topic: Database Privacy
01/21 Data De-anonymization [Slide]
01/26 k-anonymity [Slide]
01/28 l-diversity, t-closeness [Slide]
02/02 Differential privacy [Slide] Tutorial on Differential Privacy
02/04 Private Information Retrieval (PIR) [Slide]
02/09 No Class Wellness Day
Topic: Online Privacy
02/11 Online tracking: stateful [Slide]
02/16 Online tracking: stateless [Slide]
02/18 Privacy tools for web browsing [Slide]
02/23 Anonymous communication [Slide]
02/25 No Class
03/02 Tor network [Slide]
03/04 Social networks and privacy [Slide]
03/09 Exam Review Online discussion
03/11 Midterm Exam Moodle submission (1-2 hrs) Topics covered upto 03/04 (inclusive)
Topic: Machine learning and Privacy
03/16 Privacy implications of machine learning models [Slide]
03/18 Privacy perserving machine learning [Slide]
03/23 Fairness and auditing of automated systems [Slide]
Topic: Legal Aspects of Privacy
03/25 Privacy acts and frameworks [Slide]
03/30 Privacy notices [Slide]
04/01 Privacy policy compliance [Slide]
Topic: Perception of Privacy
04/06 Westin's privacy index [Slide]
04/08 Factors influencing privacy attitude [Slide]
04/13 Modeling users' privacy preferences [Slide]
04/15 No Class Wellness Day
Topic: Inference Attacks
04/20 Bitcoin and privacy [Slide] Video lecture
bitcoin-what-is-it
bitcoin
04/22 Network-level Inference attacks [Slide]
04/27 Acoustic and Motion sensor based Inference attacks [Slide]
04/29 Course and Exam Review [Slide] Online Discussion
05/04 Final Exam Moodle submission (Starts at 12pm and ends on 2pm) Full syllabus