# Lecture Schedule (Tentative)

 Date | Topic | Presenter 
:----:|-------|:---------:
9/5   | Course welcome | JH
      | <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
9/19  | Exponential mechanism <br> **Paper:** | JH
9/24  | Streaming privacy: counters <br> **Paper:** | JH
9/26  | Advanced mechanisms: Report-noisy-max | JH
10/1  | Advanced mechanisms: Sparse Vector | JH
10/3  | Advanced mechanisms: Private multiplicative weights <br> **Paper:** | JH
10/8  | Local differential privacy (theory) | JH
10/10 | Local differential privacy (practice) <br> **Paper:** | JH
      | <center> **Cryptographic Techniques** </center> |
10/15 | Crypto: overview and basics | JH
10/17 | Zero-knowledge proofs <br> **Paper:** | 
10/22 | Oblivious transfer and SMC <br> **Paper:** |
10/24 | Oblivious transfer and SMC <br> **Paper:** |
10/29 | Fully homomorphic encryption and verifiable computing <br> **Paper:** |
10/31 | Fully homomorphic encryption and verifiable computing <br> **Paper:** |
      | <center> **Language-Based Security** </center> |
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:** | 
11/19 | Languages for privacy <br> **Paper:** |
11/21 | Symbolic cryptography <br> **Paper:** |
      | <center> **Adversarial Machine Learning** </center> |
11/26 | AML: overview and basics | JH
11/28 | Adversarial examples <br> **Paper:** |
12/3  | Adversarial examples <br> **Paper:** |
12/5  | Training-time attacks <br> **Paper:** |
12/10 | Training-time attacks <br> **Paper:** |
12/12 | Model-theft attacks <br> **Paper:** |