diff --git a/website/docs/schedule/lectures.md b/website/docs/schedule/lectures.md index cea0d30..60ff86f 100644 --- a/website/docs/schedule/lectures.md +++ b/website/docs/schedule/lectures.md @@ -6,14 +6,14 @@ |
**Differential Privacy**
| 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
**Due: Project topics and groups** | JH 9/19 | Exponential mechanism
**Paper:** McSherry and Talwar. [*Mechanism Design via Differential Privacy*](http://kunaltalwar.org/papers/expmech.pdf). | JH 9/24 | Streaming privacy: counters
**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
**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)
**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)
**Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf).
**Due: Milestone 1** | |
**Cryptographic Techniques**
| 10/15 | Crypto: overview and basics | JH 10/17 | Zero-knowledge proofs
**Paper:** | @@ -25,7 +25,7 @@ 11/5 | LangSec: overview and basics | JH 11/7 | Secure Information Flow
**Paper:** | 11/12 | Secure Information Flow
**Paper:** | -11/14 | Languages for privacy
**Paper:** | +11/14 | Languages for privacy
**Paper:**
**Due: Milestone 2** | 11/19 | Languages for privacy
**Paper:** | 11/21 | Symbolic cryptography
**Paper:** | |
**Adversarial Machine Learning**
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