Schedule

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

Date Topic Reading Note
01/11 Introduction and course overview [Slide]
Topic: Database Privacy
01/13 Data De-anonymization [Slide]
01/18 k-anonymity [Slide]
01/20 l-diversity, t-closeness [Slide]
01/25 Differential privacy [Slide] Tutorial on Differential Privacy
01/27 Private Information Retrieval (PIR) [Slide]
Topic: Online Privacy
02/01 Online tracking: stateful [Slide]
02/03 Online tracking: stateless [Slide]
02/08 Privacy tools for web browsing [Slide]
02/10 Anonymous communication [Slide]
02/15 Tor network [Slide]
02/17 Social networks and privacy [Slide]
02/22 Exam Review In class discussion
02/24 Midterm Exam In class exam Topics covered upto 09/23 (inclusive)
Topic: Machine learning and Privacy
03/01 Privacy Attacks on machine learning models (part 1) [Slide]
03/03 Privacy Attacks on machine learning models (part 2) [Slide]
03/08 Privacy perserving machine learning [Slide]
03/10 Fairness and auditing of automated systems [Slide]
03/15 No class (Spring break)
03/17 No class (Spring break)
Topic: Legal Aspects of Privacy
03/22 Privacy acts and frameworks [Slide]
03/24 Privacy notices [Slide]
03/29 Privacy policy compliance [Slide]
Topic: Perception of Privacy
03/31 Westin's privacy index [Slide]
04/05 Factors influencing privacy attitude [Slide]
04/07 Modeling users' privacy preferences [Slide]
Topic: Inference Attacks
04/12 Bitcoin and privacy [Slide] Video lecture
bitcoin-what-is-it
bitcoin
04/14 Network-level Inference attacks [Slide]
04/19 Acoustic and Motion sensor based Inference attacks [Slide]
04/21 Course and Exam Review [Slide] In class discussion
04/28 Final Exam In Class (9 am to 11 am) Excluding Mid-term Exam Content