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Merge organization page into main page.

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Justin Hsu 1 year ago
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f12afeda37
  1. 83
      website/docs/index.md
  2. 88
      website/docs/org.md
  3. 37
      website/docs/syllabus.md
  4. 1
      website/mkdocs.yml

83
website/docs/index.md

@ -27,15 +27,19 @@ 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.
## Accommodations for Remote Students
We will be using **Piazza** to discuss papers, ask questions, and find group
members:
To provide opportunities for live discussion, lectures will be held
synchronously. To accommodate students attending from other time zones, all
lectures will be recorded and uploaded to BBCU (this may take a few hours).
Students who are not able to attend synchronously will not be able to present a
paper and write a presentation summary. Instead, these students will complete
paper reviews asynchronously. See the [assignments](assignments/presentations)
tab for more information.
- <https://piazza.com/class/ke3clkclul16hq>
You can also contact me directly. To ensure that your email goes to the right
place, please start the subject with **CS763**.
## Course Staff
- **Instructor**: [Justin Hsu](https://justinh.su)
- **Email**: <mailto:justhsu@cs.wisc.edu>
- **Office hours**: By appointment
## Grading
@ -57,44 +61,49 @@ submission (0), below expectations (1), meets expectations (2). Assignments that
significantly exceed expectations can receive additional (bonus) points. The
final project will be graded on a **10-point** scale.
## Academic Honesty
**Writing is a central part of this course.** All students are expected to
follow academic honesty standards. In brief: all the text that you submit must
be **in your own words**, and you are not allowed to copy anything---from a
paper, from the internet, from someone else---without full attribution.
### Paper presentations
If you are completing paper reviews, you should not search for reviews that may
be online---this is expressly **against the course policies**. You should
complete the review as if you were seeing the paper for the first time. Just
like conference reviewing, all paper reviews are to be done **by yourself**: you
should not talk to anyone about the paper until **after** you have submitted it.
In groups of two you will lead one lecture, presenting a few related papers and
guiding the discussion; details [here](assignments/presentations.md).
## Piazza
### Presentation reports
We will be using **Piazza** to discuss papers, ask questions, and find group
members:
In groups of two you will write up a detailed summary of another group's
presentation; details [here](assignments/summaries.md).
- <https://piazza.com/class/ke3clkclul16hq>
### Course Project
You can also contact me directly. To ensure that your email goes to the right
place, please start the subject with **CS763**.
The main course component is the **course project**. You will work individually
or in pairs on a topic of your choice, producing a conference-style write-up and
presenting the project at the end of the semester. The best projects may
eventually lead to a research paper or survey. Details can be found
[here](assignments/project.md).
## HotCRP
## Accommodations for Remote Students
If you are not able to attend live lectures and you are completing paper
reviews, we will be using **HotCRP** to organize paper reviews. HotCRP is the
software used to manage most conferences in computer science. Through this site,
you will be able to submit reviews. We have set up a mock HotCRP for this
course:
To provide opportunities for live discussion, lectures will be held
synchronously. To accommodate students attending from other time zones, all
lectures will be recorded and uploaded to BBCU (this may take a few hours).
Students who are not able to attend synchronously will not be able to present a
paper and write a presentation summary. Instead, these students will complete
paper reviews asynchronously, through **HotCRP**:
- <https://wisc-cs763-20.hotcrp.com/>
If you are not able to attend live lectures in your time zone, you must let me
know during the first week so I can set up your account.
!!! attention
If you are not able to regularly attend live lectures in your time zone, you
must let me know **during the first week of the course** so I can set up
your account.
## Course Staff
## Academic Honesty
- **Instructor**: [Justin Hsu](https://justinh.su)
- **Email**: <mailto:justhsu@cs.wisc.edu>
- **Office hours**: By appointment
**Writing is a central part of this course.** All students are expected to
follow academic honesty standards. In brief: all the text that you submit must
be **in your own words**, and you are not allowed to copy anything---from a
paper, from the internet, from someone else---without full attribution.
If you are completing paper reviews, you should not search for reviews that may
be online---this is expressly **against the course policies**. You should
complete the review as if you were seeing the paper for the first time. Just
like conference reviewing, all paper reviews are to be done **by yourself**: you
should not talk to anyone about the paper until **after** you have submitted it.

88
website/docs/org.md

@ -1,88 +0,0 @@
Lectures will be loosely organized around three core modules: differential
privacy, adversarial machine learning, and applied cryptography. We will also
cover two advanced modules: algorithmic fairness, and PL and verification
techniques.
This is a graduate seminar, so not all lectures are set in stone and there is
considerable flexibility in the material. If you are interested in something not
covered in the syllabus, please let me know!
## Course Materials
For differential privacy, we will use the textbook *Algorithmic Foundations of
Data Privacy* (AFDP) by Cynthia Dwork and Aaron Roth, available
[here](https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf).
## Grading and Evaluation
Grades will be assigned as follows:
- **Paper presentations: 20%**
- **Presentation reports: 20%**
- **Final project: 60%** (Milestones 1 and 2, and final writeup)
These three components are detailed below.
### Paper presentations
In groups of two you will lead one lecture, presenting a few related papers and
guiding the discussion; details [here](assignments/presentations.md).
### Presentation reports
In groups of two you will write up a detailed summary of another group's
presentation; details [here](assignments/summaries.md).
### Course Project
The main course component is the **course project**. You will work individually
or in pairs on a topic of your choice, producing a conference-style write-up and
presenting the project at the end of the semester. The best projects may
eventually lead to a research paper or survey. Details can be found
[here](assignments/project.md).
## Learning Outcomes
By the end of this course, you should be able to...
- Summarize the basic concepts in differential privacy, applied cryptography,
and adversarial machine learning.
- Use techniques from differential privacy to design privacy-preserving data
analyses.
- Grasp the high-level concepts from research literature on the main course
topics.
- Present and lead a discussion on recent research results.
- Carry out an in-depth exploration of one topic in the form of a self-directed
research project.
## Credit Information
This is a **3-credit** graduate seminar. For the first 10 weeks of the fall
semester, we will meet for three 75-minute class periods each week. You should
expect to work on course learning activities for about 3 hours out of classroom
for each hour of class.
## Academic Integrity
The final project may be done in groups of three (or in rare situations, two)
students. Collaborative projects with people outside the class may be allowed,
but check with me first. Everything else you turn in---from homework assignments
to discussion questions---should be **your own work**. Concretely: you may
discuss together, but **you must write up solutions entirely on your own,
without any records of the discussion (physical, digital, or otherwise)**.
## Access and Accommodation
The University of Wisconsin-Madison supports the right of all enrolled students
to a full and equal educational opportunity. The Americans with Disabilities Act
(ADA), Wisconsin State Statute (36.12), and UW-Madison policy (Faculty Document
1071) require that students with disabilities be reasonably accommodated in
instruction and campus life. Reasonable accommodations for students with
disabilities is a shared faculty and student responsibility. Students are
expected to inform me of their need for instructional accommodations by the end
of the third week of the semester, or as soon as possible after a disability has
been incurred or recognized. I will work either directly with you or in
coordination with the McBurney Center to identify and provide reasonable
instructional accommodations. Disability information, including instructional
accommodations as part of a student’s educational record, is confidential and
protected under FERPA.

37
website/docs/syllabus.md

@ -24,3 +24,40 @@ areas, depending on student interest:
- Zero-knowledge proofs
- Secure multi-party computation
- Verifiable computation
## Learning Outcomes
By the end of this course, you should be able to...
- Summarize the basic concepts in differential privacy, applied cryptography,
and adversarial machine learning.
- Use techniques from differential privacy to design privacy-preserving data
analyses.
- Grasp the high-level concepts from research literature on the main course
topics.
- Present and lead a discussion on recent research results.
- Carry out an in-depth exploration of one topic in the form of a self-directed
research project.
## Credit Information
This is a **3-credit** graduate seminar. For the first 10 weeks of the fall
semester, we will meet for three 75-minute class periods each week. You should
expect to work on course learning activities for about 3 hours out of classroom
for each hour of class.
## Access and Accommodation
The University of Wisconsin-Madison supports the right of all enrolled students
to a full and equal educational opportunity. The Americans with Disabilities Act
(ADA), Wisconsin State Statute (36.12), and UW-Madison policy (Faculty Document
1071) require that students with disabilities be reasonably accommodated in
instruction and campus life. Reasonable accommodations for students with
disabilities is a shared faculty and student responsibility. Students are
expected to inform me of their need for instructional accommodations by the end
of the third week of the semester, or as soon as possible after a disability has
been incurred or recognized. I will work either directly with you or in
coordination with the McBurney Center to identify and provide reasonable
instructional accommodations. Disability information, including instructional
accommodations as part of a student’s educational record, is confidential and
protected under FERPA.

1
website/mkdocs.yml

@ -24,7 +24,6 @@ nav:
- Home:
- About: 'index.md'
- Syllabus: 'syllabus.md'
- Organization: 'org.md'
- Schedule:
- Lectures: 'schedule/lectures.md'
- Deadlines: 'schedule/deadlines.md'

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