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03/31/2023
Scalable and Privacy-Preserving Federated Principal Component Analysis
Principal component analysis (PCA) is an essential algorithm for dimensi...
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03/20/2023
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment
The application of modern machine learning to retinal image analyses off...
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07/10/2020
Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy
The growing availability of personal genomics services comes with increa...
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03/25/2020
Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs
Contact tracing is an essential tool for public health officials and loc...
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06/01/2018
Large-Margin Classification in Hyperbolic Space
Representing data in hyperbolic space can effectively capture latent hie...
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04/10/2015