Can You Fake It Until You Make It? - Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness

This course explores the impacts of differentially private synthetic data on downstream classification fairness. The learning outcomes include understanding the concept of differentially private synthetic data and its effects on classification fairness. The course teaches skills in analyzing experimental pipelines and interpreting results. The teaching method involves presenting research findings and conclusions. The intended audience for this course is individuals interested in data privacy, synthetic data, and classification fairness.