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06/27/2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning
Outsourcing anomaly detection to third-parties can allow data owners to ...
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09/20/2020
R^2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions
Differential privacy (DP) has emerged as a de facto standard privacy not...
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03/18/2019
Galaxy classification: A machine learning analysis of GAMA catalogue data
We present a machine learning analysis of five labelled galaxy catalogue...
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10/24/2018