cs763/website/docs/schedule/lectures.md

Calendar (Tentative)

Date	Topic	Presenter
Differential Privacy
9/5	Course welcome, introducing differential privacy Paper: Keshav. How to Read a Paper.	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.	JH
9/24	Privacy for data streams Paper: Chan, Shi, and Song. Private and Continual Release of Statistics.
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.
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.
10/10	More differential privacy Paper:
10/15	NO CLASS: INSTRUCTOR AWAY Due: Milestone 1
Cryptographic Techniques
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: