Update lecture 2 reading.
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# Calendar (Tentative)
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For differential privacy, we will use the textbook *Algorithmic Foundations of
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Data Privacy* (AFDS) by Cynthia Dwork and Aaron Roth, available
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[here](https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf).
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Date | Topic | Presenter
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:----:|-------|:---------:
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| <center> <h4> **Differential Privacy** </h4> </center> |
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9/5 | [Course welcome, introducing differential privacy](../resources/slides/lecture01.html) <br> **Paper:** Keshav. [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf). | JH
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9/10 | Basic private mechanisms | JH
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9/10 | Basic private mechanisms <br> **Reading:** AFDP 3.2, 3.3 | JH
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9/12 | What does differential privacy actually mean? | JH
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9/17 | Composition and closure properties <br> <center> <h5> **Due: Project topics and groups** </h5> </center> | JH
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9/19 | Exponential mechanism <br> **Paper:** McSherry and Talwar. [*Mechanism Design via Differential Privacy*](http://kunaltalwar.org/papers/expmech.pdf). | JH
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