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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:** |