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Talk about JDP as well. 

Maybe drop this lecture.
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Justin Hsu 2018-09-09 23:31:31 -05:00
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@ -16,7 +16,7 @@ Data Privacy* (AFDP) by Cynthia Dwork and Aaron Roth, available
9/24 | Privacy for data streams <br> **Paper:** Chan, Shi, and Song. [*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf). | 9/24 | Privacy for data streams <br> **Paper:** Chan, Shi, and Song. [*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf). |
9/26 | Report-noisy-max and the Sparse Vector Technique **Reading:** AFDP 3.3, 3.5 | JH 9/26 | Report-noisy-max and the Sparse Vector Technique **Reading:** AFDP 3.3, 3.5 | JH
10/1 | Answering lots of queries: 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). | 10/1 | Answering lots of queries: 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 | Local differential privacy <br> **Reading:** AFDP 12.1 | JH 10/3 | Local and joint differential privacy <br> **Reading:** AFDP 12.1 | JH
10/8 | Local differential privacy <br> **Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf). | 10/8 | Local differential privacy <br> **Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf). |
10/10 | More differential privacy <br> **Paper:** | 10/10 | More differential privacy <br> **Paper:** |
10/15 | <center> **NO CLASS: INSTRUCTOR AWAY** </center> | 10/15 | <center> **NO CLASS: INSTRUCTOR AWAY** </center> |