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  Date | Topic | Presenter 
 :----:|-------|:---------:
-9/5   | Course welcome <br> Keshav. [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf). | JH
+9/5   | Course welcome <br> **Paper:** Keshav. [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf). | JH
       | <center> **Differential Privacy** </center> |
 9/10  | Definition and Basic Mechanisms | JH
 9/12  | What does Differential Privacy mean? | JH
 9/17  | Composition and closure properties <br> **Due: Project topics and groups** | 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).  |
+9/19  | 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). |
+10/3  | 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> **Due: Milestone 1** |
+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> **Due: Milestone 1** |
       | <center> **Cryptographic Techniques** </center> |
 10/15 | Crypto: overview and basics | JH
 10/17 | Zero-knowledge proofs <br> **Paper:** |