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# Welcome to CS 763!
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2018-07-21 20:34:26 +00:00
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2020-08-14 15:51:54 +00:00
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!!! attention
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* Due to COVID-19, CS 763 will be conducted **virtually**.
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* All times are [Madison local time](https://www.timeanddate.com/worldclock/usa/madison).
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2019-07-30 23:18:30 +00:00
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This is a graduate-level course covering advanced topics in security and privacy
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in data science. The field is eclectic, and so is this course. We will start
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with three core areas: **differential privacy**, **adversarial machine
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learning**, and **applied cryptography** in machine learning. Then, we will
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cover two advanced topic areas; this year, **algorithmic fairness** and **formal
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verification** for data science. This is a project based course: in small
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groups, students will be expected to complete a final project on a technical
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topic related to the course.
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Besides covering technical material, this course will emphasize research skills:
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**reading** research papers, **presenting** technical material, and **writing**
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summaries and reviews.
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## Logistics
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2020-08-14 15:51:54 +00:00
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- **Course**: CS 763, Fall 2020
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- **Time**: Monday, Wednesday, Friday, 2:30-3:45
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- **Location**: BB Collaborate Ultra (BBCU)
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For the first ten weeks, lectures will be held on Monday, Wednesday, and Friday.
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In the remaining five weeks, you will work on your course projects. Though there
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are no lectures scheduled in this period, I will be available to meet as needed.
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We will be using **Piazza** to discuss papers, ask questions, and find group
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members:
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- <https://piazza.com/class/ke3clkclul16hq>
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You can also contact me directly. To ensure that your email goes to the right
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place, please start the subject with **CS763**.
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## Course Staff
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- **Instructor**: [Justin Hsu](https://justinh.su)
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- **Email**: <mailto:justhsu@cs.wisc.edu>
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- **Office hours**: By appointment
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## Grading
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Grades will be posted on Canvas.
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- Presentation and summary
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- Paper presentation: **15%**
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- Presentation summary: **15%**
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- **OR:** Paper reviews **(remote only)**
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- 16 reviews: **30%**
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- Course project
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- Milestone 1: **10%**
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- Milestone 2: **10%**
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- Final project: **50%**
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Everything except the final project will be graded on a simple scale: no
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submission (0), below expectations (1), meets expectations (2). Assignments that
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significantly exceed expectations can receive additional (bonus) points. The
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final project will be graded on a **10-point** scale.
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### Paper presentations
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In groups of two you will lead one lecture, presenting a few related papers and
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guiding the discussion; details [here](assignments/presentations.md).
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### Presentation reports
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In groups of two you will write up a detailed summary of another group's
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presentation; details [here](assignments/summaries.md).
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### Course Project
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The main course component is the **course project**. You will work individually
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or in pairs on a topic of your choice, producing a conference-style write-up and
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presenting the project at the end of the semester. The best projects may
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eventually lead to a research paper or survey. Details can be found
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[here](assignments/project.md).
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2020-10-27 16:27:33 +00:00
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## Accommodations for Remote Students
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To provide opportunities for live discussion, lectures will be held
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synchronously. To accommodate students attending from other time zones, all
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lectures will be recorded and uploaded to BBCU (this may take a few hours).
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Students who are not able to attend synchronously will not be able to present a
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paper and write a presentation summary. Instead, these students will complete
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paper reviews asynchronously, through **HotCRP**:
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- <https://wisc-cs763-20.hotcrp.com/>
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2020-10-27 16:27:33 +00:00
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!!! attention
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If you are not able to regularly attend live lectures in your time zone, you
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must let me know **during the first week of the course** so I can set up
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your account.
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2020-09-01 23:41:23 +00:00
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2020-10-27 16:27:33 +00:00
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## Academic Honesty
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**Writing is a central part of this course.** All students are expected to
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follow academic honesty standards. In brief: all the text that you submit must
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be **in your own words**, and you are not allowed to copy anything---from a
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paper, from the internet, from someone else---without full attribution.
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If you are completing paper reviews, you should not search for reviews that may
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be online---this is expressly **against the course policies**. You should
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complete the review as if you were seeing the paper for the first time. Just
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like conference reviewing, all paper reviews are to be done **by yourself**: you
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should not talk to anyone about the paper until **after** you have submitted it.
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