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. Not offered on a regular basis. Bulletin: https://bulletin.uga.edu/CoursesHome.aspx?cid=35027 Credit Hours: 4 Prerequisites: CSCI 4380/6380 or Permission of Department Level: Graduate
