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Prepare signup sheets.

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Justin Hsu 2019-09-03 20:35:58 -05:00
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20
website/docs/resources/slides/lecture-welcome.md
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@ -44,7 +44,7 @@ date: September 04, 2019
## Five modules ## Five modules
1. Differential privacy 1. Differential privacy
2. Adversarial machine learning 2. Adversarial machine learning
3. Applied cryptography 3. Crytpography in machine learning
4. Algorithmic fairness 4. Algorithmic fairness
5. PL and verification 5. PL and verification
@ -88,7 +88,7 @@ date: September 04, 2019
- Messing with training data - Messing with training data
- Extracting training information - Extracting training information
# Applied crypto # Cryptography in machine learning
## ##
@ -166,7 +166,6 @@ date: September 04, 2019
- In groups of three (or very rarely two) - In groups of three (or very rarely two)
- See website for [project details](https://pages.cs.wisc.edu/~justhsu/teaching/current/cs763/assignments/project/) - See website for [project details](https://pages.cs.wisc.edu/~justhsu/teaching/current/cs763/assignments/project/)
- Key dates: - Key dates:
- **September 9**: Form groups, pick topic
- **October 11**: Milestone 1 - **October 11**: Milestone 1
- **November 8**: Milestone 2 - **November 8**: Milestone 2
- **End of class**: Final writeups and presentations - **End of class**: Final writeups and presentations
@ -174,9 +173,20 @@ date: September 04, 2019
## Todos for you ## Todos for you
0. Complete the [course survey](https://forms.gle/NvYx3BM7HVkuzYdG6) 0. Complete the [course survey](https://forms.gle/NvYx3BM7HVkuzYdG6)
1. Explore the [course website](https://pages.cs.wisc.edu/~justhsu/teaching/current/cs763/) 1. Explore the [course website](https://pages.cs.wisc.edu/~justhsu/teaching/current/cs763/)
2. Think about which lecture you want to present 2. Think about which lecture you want to present and summarize
3. Think about which lecture you want to summarize 3. Think about which lecture you want to summarize
4. Brainstorm project topics 4. Form project groups and brainstorm topics
> Signup for slots and projects [here](https://docs.google.com/spreadsheets/d/1hSbRy0mo3PjlozN0Ph1JkP5JwlRG8y7ukuCdorofncA/edit?usp=sharing)
## We will move quickly
- First deadline: **next Monday, September 9**
- Form paper and project groups
- Signup sheet [here](https://docs.google.com/spreadsheets/d/1hSbRy0mo3PjlozN0Ph1JkP5JwlRG8y7ukuCdorofncA/edit?usp=sharing)
- Please: don't sign up for the same slot
- First slot is soon: **next Friday, September 13**
- Only slot for presenting differential privacy
- I will help the first group prepare
# Defining privacy # Defining privacy

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website/docs/schedule/deadlines.md
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The first key date is **September 9**. By this date, you should: The first key date is **September 9**. By this date, you should:
- **Sign up** with a partner to present and scribe. - **Sign up** with a partner to present and scribe.
- **Form project groups** of three. - **Form project groups** of three and **brainstorm** project topics. Try to
- **Brainstorm** project topics. Try to come up with **1-2 sentences** come up with **1-2 sentences** describing your initial direction. This is not
describing your initial direction. This is not a firm commitment---you can a firm commitment---you can change your topic as you learn more.
change your topic as you learn more.
The signup sheet is [here](https://docs.google.com/spreadsheets/d/1hSbRy0mo3PjlozN0Ph1JkP5JwlRG8y7ukuCdorofncA/edit?usp=sharing).
## Project Deadlines ## Project Deadlines
- Milestone 1: **October 11** - Milestone 1: **October 11**

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website/docs/schedule/lectures.md
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| <center> <h4> **Differential Privacy** </h4> </center> | | | | <center> <h4> **Differential Privacy** </h4> </center> | | |
9/4 | Course welcome <br> **Reading:** [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf) | JH | - | 9/4 | Course welcome <br> **Reading:** [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf) | JH | - |
9/6 | Basic private mechanisms <br> **Reading:** AFDP 3.2-4 | JH | - | 9/6 | Basic private mechanisms <br> **Reading:** AFDP 3.2-4 | JH | - |
9/9 | Composition and closure properties <br> **Reading:** AFDP 3.5 | JH | - | Paper Signups 9/9 | Composition and closure properties <br> **Reading:** AFDP 3.5 | JH | - | [Paper Signups](https://docs.google.com/spreadsheets/d/1hSbRy0mo3PjlozN0Ph1JkP5JwlRG8y7ukuCdorofncA/edit?usp=sharing)
9/11 | What does differential privacy actually mean? <br> **Reading:** [Lunchtime for Differential Privacy](https://github.com/frankmcsherry/blog/blob/master/posts/2016-08-16.md) | JH | - | 9/11 | What does differential privacy actually mean? <br> **Reading:** [Lunchtime for Differential Privacy](https://github.com/frankmcsherry/blog/blob/master/posts/2016-08-16.md) | JH | - |
9/13 | Differentially private machine learning <br> **Reading:** [*On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches*](https://arxiv.org/pdf/1708.08022) <br> **Reading:** [*Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data*](https://arxiv.org/pdf/1610.05755) | | | 9/13 | Differentially private machine learning <br> **Reading:** [*On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches*](https://arxiv.org/pdf/1708.08022) <br> **Reading:** [*Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data*](https://arxiv.org/pdf/1610.05755) | | |
| <center> <h4> **Adversarial Machine Learning** </h4> </center> | | | <center> <h4> **Adversarial Machine Learning** </h4> </center> | |