This course as delivered at the University of Ottawa in Winter 2025 and provides the theoretical foundations and statistical methodologies for ensuring privacy guarantees while maintaining data utility in AI-driven applications. Emphasizing the importance of data protection, the curriculum covers key concepts including statistical disclosure control, differential privacy, and synthetic data generation.
For more detailed course materials, lectures, and supplementary readings, please refer to the available downloads and our project reports.