Prepare signup sheets.

website/docs/resources/slides/lecture-welcome.md

@@ -44,7 +44,7 @@ date: September 04, 2019
 ## Five modules
 1. Differential privacy
 2. Adversarial machine learning
-3. Applied cryptography
+3. Crytpography in machine learning
 4. Algorithmic fairness
 5. PL and verification
 
@@ -88,7 +88,7 @@ date: September 04, 2019
 - Messing with training data
 - 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)
 - See website for [project details](https://pages.cs.wisc.edu/~justhsu/teaching/current/cs763/assignments/project/)
 - Key dates:
-    - **September 9**: Form groups, pick topic
     - **October 11**: Milestone 1
     - **November 8**: Milestone 2
     - **End of class**: Final writeups and presentations
@@ -174,9 +173,20 @@ date: September 04, 2019
 ## Todos for you
 0. Complete the [course survey](https://forms.gle/NvYx3BM7HVkuzYdG6)
 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
-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
 

website/docs/schedule/deadlines.md

@@ -1,10 +1,11 @@
 The first key date is **September 9**. By this date, you should:
 
 - **Sign up** with a partner to present and scribe.
-- **Form project groups** of three.
-- **Brainstorm** project topics. Try to come up with **1-2 sentences**
-  describing your initial direction. This is not a firm commitment---you can
-  change your topic as you learn more.
+- **Form project groups** of three and **brainstorm** project topics. Try to
+  come up with **1-2 sentences** describing your initial direction. This is not
+  a firm commitment---you can change your topic as you learn more.
+
+The signup sheet is [here](https://docs.google.com/spreadsheets/d/1hSbRy0mo3PjlozN0Ph1JkP5JwlRG8y7ukuCdorofncA/edit?usp=sharing).
 
 ## Project Deadlines
 - Milestone 1: **October 11**

website/docs/schedule/lectures.md

@@ -5,7 +5,7 @@
       | <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 | - |
 9/6   | 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 | - |
 9/13  | 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> | |