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  Date | Topic | Presenter 
 :----:|-------|:---------:
-9/5   | Course welcome <br> **Paper:** Keshav. [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf). | JH
       | <center> <h4> **Differential Privacy** </h4> </center> |
-9/10  | Definition and Basic Mechanisms | JH
-9/12  | What does Differential Privacy mean? | JH
+9/5   | Course welcome, introducing differential privacy <br> **Paper:** Keshav. [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf). | JH
+9/10  | Basic private mechanisms | JH
+9/12  | What does differential privacy mean? | JH
 9/17  | Composition and closure properties <br> <center> <h5> **Due: Project topics and groups** </h5> </center> | JH
 9/19  | Exponential mechanism <br> **Paper:** McSherry and Talwar. [*Mechanism Design via Differential Privacy*](http://kunaltalwar.org/papers/expmech.pdf). | JH
-9/24  | Streaming privacy: counters <br> **Paper:** Chan, Shi, and Song. [*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf).  |
-9/26  | Advanced mechanisms: Report-noisy-max | JH
-10/1  | Advanced mechanisms: Sparse Vector | JH
-10/3  | Advanced mechanisms: Private multiplicative weights <br> **Paper:** Hardt, Ligett, and McSherry. [*A Simple and Practical Algorithm for Differentially Private Data Release*](https://papers.nips.cc/paper/4548-a-simple-and-practical-algorithm-for-differentially-private-data-release.pdf). |
-10/8  | Local differential privacy (theory) | JH    
-10/10 | Local differential privacy (practice) <br> **Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf). <br> <center> <h5> **Due: Milestone 1** </h5> </center> |
+9/24  | Privacy for data streams <br> **Paper:** Chan, Shi, and Song. [*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf).  |
+9/26  | Report-noisy-max and the Sparse Vector Technique | JH
+10/1  | Answering lots of queries: Private multiplicative weights <br> **Paper:** Hardt, Ligett, and McSherry. [*A Simple and Practical Algorithm for Differentially Private Data Release*](https://papers.nips.cc/paper/4548-a-simple-and-practical-algorithm-for-differentially-private-data-release.pdf). |
+10/3  | Local differential privacy (theory) | JH    
+10/8  | Local differential privacy (practice) <br> **Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf). |
+10/10 | More differential privacy <br> **Paper:**  <br> <center> <h5> **Due: Milestone 1** </h5> </center> |
       | <center> <h4> **Cryptographic Techniques** </h4> </center> |
-10/15 | Crypto: overview and basics | JH
-10/17 | Zero-knowledge proofs <br> **Paper:** | 
-10/22 | Oblivious transfer and SMC <br> **Paper:** |
-10/24 | Oblivious transfer and SMC <br> **Paper:** |
-10/29 | Fully homomorphic encryption and verifiable computing <br> **Paper:** |
-10/31 | Fully homomorphic encryption and verifiable computing <br> **Paper:** |
+10/15 | <center> **INSTRUCTOR OUT OF TOWN: NO CLASS** </center> |
+10/17 | Crypto: overview and basics | JH
+10/22 | Zero-knowledge proofs and oblivious transfer <br> **Paper:** | 
+10/24 | Secure multiparty computation <br> **Paper:** |
+10/29 | Homomorphic encryption <br> **Paper:** |
+10/31 | Verifiable computing <br> **Paper:** |
       | <center> <h4> **Language-Based Security** </h4> </center> |
 11/5  | LangSec: overview and basics | JH
 11/7  | Secure Information Flow <br> **Paper:** |