diff --git a/website/docs/schedule/lectures.md b/website/docs/schedule/lectures.md index 96c7f8d..8dd559f 100644 --- a/website/docs/schedule/lectures.md +++ b/website/docs/schedule/lectures.md @@ -13,7 +13,7 @@ Data Privacy* (AFDP) by Cynthia Dwork and Aaron Roth, available 9/17 | What does differential privacy actually mean?
**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
**Paper:** McSherry and Talwar. [*Mechanism Design via Differential Privacy*](http://kunaltalwar.org/papers/expmech.pdf).
**Due: Project topics and groups**
| JH **9/21 (FRI)** | Identity-Based Encryption from the Diffie-Hellman Assumption
**SPECIAL TIME AND PLACE: 4 PM, CS 1240**
| Sanjam Garg -9/24 | Report-noisy-max and the Sparse Vector Technique
**Reading:** AFDP 3.3, 3.5 | JH +9/24 | Advanced mechanisms
Report-noisy-max, Sparse Vector Technique, and Private Multiplicative Weights
**Reading:** AFDP 3.3, 3.5, 4.2 | JH 9/26 | Privacy for data streams
**Paper:** Chan, Shi, and Song. [*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf). | Yinglun 10/1 | Local differential privacy
**Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf). | JH |

**Adversarial Machine Learning**

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