Instructor: Yixin Sun
TA: Zhiming Fan (zf7ja)
Lecture time: 5:00-6:15pm Mondays and Wednesdays
Location: Olsson 018 (starting Sep 9)
Office hours:
Mon: 10-11am (Zhiming)
Tue: 2-3pm (Yixin)
Wed: 2-3pm (Yixin)
Fri: 10-11am (Zhiming)
Important note: given the small class size, I do plan to teach the course in person. However, as required for all courses, this course will provide an online component to students who are unable to attend in person, e.g., via streaming/recording of lectures, online office hours, etc. We will ensure that students have the same access to course resources, whether in person or online.
This course provides an in-depth look into privacy issues on the Internet and introduces privacy enhancing technologies. We will cover topics such as anonymous communications, traffic analysis and location privacy. We will also examine the trade-offs between security and privacy, and the interactions with other fields such as machine learning and policy.
CS2150. Some background in cybersecurity (CS3710) and computer networks (CS4457) will be helpful but not required.
Tentative schedule, subject to change.
| Dates | Topic | Notes |
| Wed 8/26 | Intro | Online |
| Mon 8/31 | Background | |
| Wed 9/2 | Privacy issues with IP | |
| Mon 9/7 | Anonymity systems | |
| Wed 9/9 | Website fingerprinting | In person class starts (if permitted) |
| Mon 9/14 | Censorship techniques | |
| Wed 9/16 | Censorship measurement | |
| Mon 9/21 | Censorship circumvention | HW 1 due |
| Wed 9/23 | Guest lecture (Danny Huang) | |
| Mon 9/28 | IoT Privacy | Quiz 1 |
| Wed 9/30 | Online tracking | |
| Mon 10/5 | Data privacy 1 | |
| Wed 10/7 | Data privacy 2 | |
| Mon 10/12 | Machine learning and privacy | |
| Wed 10/14 | Routing attacks on privacy | HW 2 due on Friday 10/16 |
| Mon 10/19 | Guest lecture (David Wang) | Quiz 2 |
| Wed 10/21 | DNS privacy | |
| Mon 10/26 | Privacy and anomaly detection | |
| Wed 10/28 | CDN privacy | |
| Mon 11/2 | Privacy in new Internet architecture | HW 3 due |
| Wed 11/4 | ISP privacy | Quiz 3 |
| Fri 11/6 | Project team and topic due | |
| Mon 11/9 | Privacy policy | |
| Wed 11/11 | Privacy and user study | |
| Mon 11/16 | Summary and future outlook | |
| Wed 11/18 | Project presentation | |
| Mon 11/23 | Project presentation | |
| Wed 12/9 | Final project deliverable due | |
Homework assignments: 45% (3 assignments, 15% each)
Final project (presentation and report): 40%
Quizzes: 15% (3 quizes, 5% each)
We will use Collab for the course announcements and assignment submissions