Instructor(s): N. Phyllis Ju
Course on canvas.dartmouth.edu.⇗
See canvas for most up to date information
Syllabus
| Date | Label | Contents |
| 1/6 | W1-1 |
Course overview, randomized response model, definition of -DP. Suggested reading: chapter1-draft.pdf Download chapter1-draft.pdf |
| 1/8 | W1-2 |
Laplace mechanism. Suggested reading: Dwork, Cynthia, et al. "Calibrating noise to sensitivity in private data analysis." Download Dwork, Cynthia, et al. "Calibrating noise to sensitivity in private data analysis." |
| 1/13 | W2-1 |
Exponential mechanism. Suggested reading: (a) McSherry, Frank, and Kunal Talwar. "Mechanism design via differential privacy." Download McSherry, Frank, and Kunal Talwar. "Mechanism design via differential privacy." (b) Dwork and Roth. Chapter 2.4. |
| 1/14 | W2-2a |
Exponential mechanism continued. |
| 1/15 | W2-2b |
Composition and post-processing. Suggested reading: Dwork and Roth. Chapter 3.5. |
| 1/20 | W3-1 |
Basic composition review, approximate DP. Suggested reading: Dwork and Roth. Chapter 2.3. |