Welcome to CS 763!
This is a graduate-level course covering advanced topics in security and privacy in data science. The field is eclectic, and so is this course. We will start with three core areas: differential privacy, adversarial machine learning, and applied cryptography in machine learning. Then, we will cover two advanced topic areas; this year, algorithmic fairness and formal verification for data science. This is primarily a project-based course, though there will also be paper presentations and small homework assignments.
- Course: CS 763, Fall 2019
- Location: CS 1263
- Time: Monday, Wednesday, Friday, 2:30-3:45
For the first ten weeks, lectures will be held on Monday, Wednesday, and Friday. In the remaining five weeks, you will work on your course projects. Though there are no lectures scheduled in this period, I will be available to meet as needed.
Please use the mailing list if you want to contact the whole course:
All registered students should be on this list. If you are not registered but would like to follow along, please let me know and I will add you.
Otherwise, you can contact me directly. To ensure that your email goes to the right place, please start the subject with CS763.
- Instructor: Justin Hsu
- Email: email@example.com
- Location: CS 6379
- Office hours: By appointment