cs763/website/docs/schedule/lectures.md

Calendar (Tentative)

For differential privacy, we will use the textbook Algorithmic Foundations of Data Privacy (AFDP) by Cynthia Dwork and Aaron Roth, available here.

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 Reading: AFDP 3.2, 3.3	JH
9/12	What does differential privacy actually mean? Reading: McSherry. Lunchtime for Differential Privacy (see also these two posts)	JH
9/17	Composition and closure properties Reading: AFDP 3.5 Due: Project topics and groups	JH
9/19	Exponential mechanism Paper: McSherry and Talwar. Mechanism Design via Differential Privacy.	JH
9/21 (FRI)	Identity-Based Encryption from the Diffie-Hellman Assumption SPECIAL TIME AND PLACE: 4 PM, CS 1240	Sanjam Garg
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 Reading: AFDP 3.3, 3.5	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 and joint differential privacy Reading: AFDP 12.1	JH
10/8	Local differential privacy Paper: Erlingsson, Pihur, and Korolova. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
10/10	More differential privacy Paper:
10/15	NO CLASS: INSTRUCTOR AWAY
10/17	NO CLASS: INSTRUCTOR AWAY Due: Milestone 1
Cryptographic Techniques
10/22	Crypto: overview and basics	JH
10/24	Secure multiparty computation Paper:
10/29	Homomorphic encryption Paper:
10/31	Verifiable computing Paper:
11/5	More applied crypto Paper:
Language-Based Security
11/7	LangSec: overview and basics	JH
11/12	Secure Information Flow Paper:
11/14	Languages for privacy Paper: Due: Milestone 2
11/19	Symbolic cryptography Paper:
11/21	More LangSec Paper:
Adversarial Machine Learning
11/26	AML: overview and basics GUEST LECTURE	Somesh Jha
11/28	AML: overview and basics GUEST LECTURE	Somesh Jha
12/3	Adversarial examples Paper:
12/5	Training-time attacks Paper:
12/10	Model-theft attacks Paper:
12/12	More AML Paper: