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Add deadlines in calendar.

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Justin Hsu 2018-08-03 14:57:59 -04:00
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| <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 | 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). |
9/26 | 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). |
10/8 | 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). |
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:** |
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11/5 | LangSec: overview and basics | JH
11/7 | Secure Information Flow <br> **Paper:** |
11/12 | Secure Information Flow <br> **Paper:** |
11/14 | Languages for privacy <br> **Paper:** |
11/14 | Languages for privacy <br> **Paper:** <br> **Due: Milestone 2** |
11/19 | Languages for privacy <br> **Paper:** |
11/21 | Symbolic cryptography <br> **Paper:** |
| <center> **Adversarial Machine Learning** </center> |