| Time | Presenter(s) | Topic |
| 19-Jan | Meijia Shao | Motivation, concepts, definitions, basic examples |
| 26-Jan | Fangyi Wang | Randomized responses |
| 2-Feb | Zhizhen Zhao | Laplace mechanism |
| 9-Feb | Xuerong Wang | Post-processing, group privacy, composition |
| 16-Feb | Chenze Li | Exponential mechanism |
| 23-Feb | Zhenbang Jiao | Report noisy max |
| 2-Mar | Fangyi Wang | Gaussian Differential Privacy (JRSS-B discussion paper) |
| 9-Mar | Yuan Zhang | Gaussian Differential Privacy (JRSS-B discussion paper) |
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2023 Spring Statistical Learning Reading Group (Part I)
The first part of the reading group (8 meetings before spring break) will focus on the topic of differential privacy (DP). Here are some materials for your reference (mostly “top-k” Google results).
| Textbooks |
| Dwork & Roth book |
| Salil Vadhan tutorial |
| Websites |
| Marco Gaboardi course |
| Yu-Xiang Wang course |
| Wasserman slides |
| JH-SV course |
| AS-JU course |
We will meet weekly in Enarson 258 on Thursdays, 11:30–12:25.
Students may register for course credit by enrolling in STAT 8750.01. If you are not officially enrolled but want to be added to the reading group email list, please contact Haozhen Yu at yu.2823@osu.edu.