Privacy-Preserving Data Analysis

An introduction to the privacy preservation problems, as well as algorithmic and statistical techniques for data privacy, in modern data analysis, such as machine learning and data mining. Approaches include randomized algorithms, synthetic data generation, stability analysis, and so on.

Prerequisites:
http://bulletin.uga.edu/CoursesHome.aspx

Level:

Graduate

Credit Hours:
4