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All advanced mechanisms in one lecture.

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Justin Hsu 2018-09-23 22:43:11 -05:00
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@ -13,7 +13,7 @@ Data Privacy* (AFDP) by Cynthia Dwork and Aaron Roth, available
9/17 | What does differential privacy actually mean? <br> **Reading:** McSherry. [*Lunchtime for Differential Privacy*](https://github.com/frankmcsherry/blog/blob/master/posts/2016-08-16.md) (see also these [two](https://github.com/frankmcsherry/blog/blob/master/posts/2016-06-14.md) [posts](https://github.com/frankmcsherry/blog/blob/master/posts/2016-08-29.md)) | JH
9/19 | Exponential mechanism <br> **Paper:** McSherry and Talwar. [*Mechanism Design via Differential Privacy*](http://kunaltalwar.org/papers/expmech.pdf). <br> <center> <h5> **Due: Project topics and groups** </h5> </center> | JH
**9/21 (FRI)** | Identity-Based Encryption from the Diffie-Hellman Assumption <br> <center> **SPECIAL TIME AND PLACE: 4 PM, CS 1240** </center> | Sanjam Garg
9/24 | Report-noisy-max and the Sparse Vector Technique <br> **Reading:** AFDP 3.3, 3.5 | JH
9/24 | Advanced mechanisms <br> Report-noisy-max, Sparse Vector Technique, and Private Multiplicative Weights <br> **Reading:** AFDP 3.3, 3.5, 4.2 | JH
9/26 | Privacy for data streams <br> **Paper:** Chan, Shi, and Song. [*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf). | Yinglun
10/1 | Local differential privacy <br> **Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf). | JH
| <center> <h4> **Adversarial Machine Learning** </h4> </center> |