Browsing Theses by Subject "data privacy"
Now showing items 1-4 of 4
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DP-Select: Improving Utility and Privacy in Tabular Data Synthesis with Differentially Private Generative Adversarial Networks and Differentially Private Selection
(University of Waterloo, 2023-05-29)This thesis proposes DP-Select, a novel approach to tabular data synthesis that combines DP-GAN and differentially private selection. We develop a mutual information-based selection method that is flexible and scalable for ... -
Evaluating the Usefulness of Synthetic Data in Healthcare: Applications in Predictive Modeling and Privacy Protection
(University of Waterloo, 2024-04-24)The advent of data-driven approaches in healthcare has opened new horizons for patient care, disease management, and medical research. However, one of the significant challenges is the availability of large-scale, high-quality ... -
Novel Neural Network Repair Methods for Data Privacy and Individual Fairness
(University of Waterloo, 2021-08-03)Machine learning is increasingly becoming critical to the decisions that control our lives. As these predictive models advance toward ubiquity, the demand for models that are trustworthy, fair, and preserve privacy becomes ... -
Private Data Exploring, Sampling, and Profiling
(University of Waterloo, 2022-06-27)Data analytics is being widely used not only as a business tool, which empowers organizations to drive efficiencies, glean deeper operational insights and identify new opportunities, but also for the greater good of society, ...