Office hours: We will use gather.town for virtual office hours.
Link: https://gather.town/app/9yyy71hzSZfqHkli/CS590-OfficeHour
Password: If you have not received the password, please contact the instructors.
Tutorial: See this video
Office hours schedule: (Starting 9/13)
| Name | Day | Time |
|---|---|---|
| David Pujol | Monday | noon - 1 pm |
| Yuchao Tao | Thursday | 11 am - noon |
| Ashwin Machanavajjhala | Friday | 1 pm - 2 pm |
Slack: We will use slack for course announcements and discussions. Please contact the instructors if you need a signup link for the slack channel
Format:
- There are no exams.
- The course is set up as 4 modules
- Introduction to Privacy
- Introduction to Fairness
- Algorithms for Privacy
- Algorithms for Fairness
- Modules 1-2: Instructors will lead the discussion with lectures
- Modules 3-4: Students read one or more papers and lead the discussion in the class.
Graded Student Work:
- Modules 1 and 2:
- Each student will independently work on a homework assignment.
- Modules 3-4:
- Each student will individually submit a mini-critique for 10 papers that will be discussed in class. A mini-critique is like a peer-review at a conference and the very least should have:
- Summary: Motivation + Problem + Approach + Result
- 3 Strengths
- 3 Weaknesses
- 1-2 students will be assigned to lead the discussion of each paper.
- Each student will individually submit a mini-critique for 10 papers that will be discussed in class. A mini-critique is like a peer-review at a conference and the very least should have:
- Students will participate in an individual or group research project. Projects can focus on developing new theory/algorithms for privacy/fairness, or on implementing/adapting known algorithms to a real application setting.
- More information about project ideas is forthcoming.
Grading:
- Homework: 20 each
- Mini-critiques: 10
- Class participation: 10
- Project: 40
Late Submission Policy:
We will allow late submissions only for HW1 and HW2 which may be submitted up to 48 hours late for a reduced maximum grade of 80%.
We do not allow any late submissions for critiques or project deliverables.
Standards of Conduct:
Under the Duke Community Standard, you are expected to do your own work–individually for homework/mini-projects, and with your team for the project. We will use the whiteboard policy for homework/mini-projects — you are allowed to discuss solutions with your peers, but you must write submissions/code independently (and indicate in your submission any assistance you received). Any assistance received that is not given proper citation will be considered a violation of the Standard.
