# Calendar (Tentative) Date | Topic | Presenter :----:|-------|:---------: |

**Differential Privacy**

| 9/5 | Course welcome, introducing differential privacy
**Paper:** Keshav. [*How to Read a Paper*](https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf). | JH 9/10 | Basic private mechanisms | JH 9/12 | What does differential privacy mean? | 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 | Privacy for data streams
**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 | JH 10/1 | Answering lots of queries: 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). | 10/3 | Local differential privacy (theory) | JH 10/8 | 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 | More differential privacy
**Paper:**
**Due: Milestone 1**
| |

**Cryptographic Techniques**

| 10/15 |
**NO CLASS: INSTRUCTOR OUT OF TOWN**
| 10/17 | Crypto: overview and basics | JH 10/22 | Zero-knowledge proofs and oblivious transfer
**Paper:** | 10/24 | Secure multiparty computation
**Paper:** | 10/29 | Homomorphic encryption
**Paper:** | 10/31 | Verifiable computing
**Paper:** | |

**Language-Based Security**

| 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:**
**Due: Milestone 2**
| 11/19 | Languages for privacy
**Paper:** | 11/21 | Symbolic cryptography
**Paper:** | |

**Adversarial Machine Learning**

| 11/26 | AML: overview and basics | JH 11/28 | Adversarial examples
**Paper:** | 12/3 | Adversarial examples
**Paper:** | 12/5 | Training-time attacks
**Paper:** | 12/10 | Training-time attacks
**Paper:** | 12/12 | Model-theft attacks
**Paper:** |