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Found 5 papers, 2 papers with code
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment
While prior works have explored image de-identification strategies based on synthetic averaging of images in other domains (e. g. facial images), existing techniques face difficulty in preserving both privacy and clinical utility in retinal images, as we demonstrate in our work.
Mechanisms for Hiding Sensitive Genotypes with Information-Theoretic Privacy
Motivated by the growing availability of personal genomics services, we study an information-theoretic privacy problem that arises when sharing genomic data: a user wants to share his or her genome sequence while keeping the genotypes at certain positions hidden, which could otherwise reveal critical health-related information.
Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs
Importantly, though we discuss potential modifications, this document is not meant as a formal research paper, but instead is a response to some of the privacy characteristics of direct contact tracing apps like TraceTogether and an early-stage Request for Comments to the community.
Cryptography and Security
Large-Margin Classification in Hyperbolic Space
Representing data in hyperbolic space can effectively capture latent hierarchical relationships.
Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks
In this paper, we introduce diffusion component analysis (DCA), a framework that plugs in a diffusion model and learns a low-dimensional vector representation of each node to encode the topological properties of a network.
