Schedule

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

Date Topic Reading Note
08/11 Introduction and course overview [Slide]
Topic: Database Privacy
08/13 Data De-anonymization [Slide]
08/18 k-anonymity [Slide]
08/20 l-diversity, t-closeness [Slide]
08/25 Introduction to differential privacy [Slide] Tutorial on Differential Privacy
08/27 Differential privacy (Continued) [Slide]
09/01 No Class Allow students to move to online instruction
09/03 Private Information Retrieval (PIR) [Slide]
Topic: Online Privacy
09/08 Online tracking: stateful [Slide]
09/10 Online tracking: stateless [Slide]
09/15 Privacy tools for web browsing [Slide]
09/17 Anonymous communication [Slide]
09/22 Tor network [Slide]
09/24 Social networks and privacy [Slide]
09/29 Exam Review Online discussion
10/01 Midterm Exam Moodle submission (1-2 hrs) Topics covered upto 09/22 (inclusive)
Topic: Machine learning and Privacy
10/06 Privacy implications of machine learning models [Slide]
10/08 Privacy perserving machine learning [Slide]
10/13 Fairness and auditing of automated systems [Slide]
Topic: Legal Aspects of Privacy
10/15 Privacy acts and frameworks [Slide]
10/20 Privacy notices [Slide]
10/22 Privacy policy compliance [Slide]
Topic: Perception of Privacy
10/27 Westin's privacy index [Slide]
10/29 Factors influencing privacy attitude [Slide]
11/03 Modeling users' privacy preferences [Slide]
Topic: Inference Attacks
11/05 Bitcoin and privacy [Slide] Video lecture
bitcoin-what-is-it
bitcoin
11/10 Network-level Inference attacks [Slide]
11/12 Acoustic and Motion sensor based Inference attacks [Slide]
11/17 Course and Exam Review [Slide] Online Discussion
11/19 Final Exam Moodle submission (Starts at 9am and ends on 11am) Full syllabus