[HTML][HTML] Secure, privacy-preserving and federated machine learning in medical imaging
GA Kaissis, MR Makowski, D Rückert… - Nature Machine …, 2020 - nature.com
The broad application of artificial intelligence techniques in medicine is currently hindered
by limited dataset availability for algorithm training and validation, due to the absence of …
by limited dataset availability for algorithm training and validation, due to the absence of …
[HTML][HTML] Preserving privacy in speaker and speech characterisation
Speech recordings are a rich source of personal, sensitive data that can be used to support
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …
{ABY2. 0}: Improved {Mixed-Protocol} secure {Two-Party} computation
Secure Multi-party Computation (MPC) allows a set of mutually distrusting parties to jointly
evaluate a function on their private inputs while maintaining input privacy. In this work, we …
evaluate a function on their private inputs while maintaining input privacy. In this work, we …
PILOT: Practical privacy-preserving indoor localization using outsourcing
In the last decade, we observed a constantly growing number of Location-Based Services
(LBSs) used in indoor environments, such as for targeted advertising in shopping malls or …
(LBSs) used in indoor environments, such as for targeted advertising in shopping malls or …
[HTML][HTML] EasySMPC: a simple but powerful no-code tool for practical secure multiparty computation
Background Modern biomedical research is data-driven and relies heavily on the re-use and
sharing of data. Biomedical data, however, is subject to strict data protection requirements …
sharing of data. Biomedical data, however, is subject to strict data protection requirements …
EPISODE: Efficient privacy-preserving similar sequence queries on outsourced genomic databases
T Schneider, O Tkachenko - Proceedings of the 2019 ACM Asia …, 2019 - dl.acm.org
Nowadays, genomic sequencing has become much more affordable for many people and,
thus, many people own their genomic data in a digital format. Having paid for genomic …
thus, many people own their genomic data in a digital format. Having paid for genomic …
Secure and private function evaluation with Intel SGX
Secure function evaluation (SFE) allows two parties to jointly evaluate a publicly known
function without revealing their respective inputs. SFE can be realized via well-known …
function without revealing their respective inputs. SFE can be realized via well-known …
Maliciously secure and efficient large-scale genome-wide association study with multi-party computation
Genome-Wide Association Study (GWAS) aims at detecting the association between
diseases and Single-Nucleotide Polymorphisms (SNPs) with statistical techniques and has …
diseases and Single-Nucleotide Polymorphisms (SNPs) with statistical techniques and has …
Privacy-preserving collaborative analytics on medical time series data
Medical time series data analytics based on dynamic time warping (DTW) greatly benefits
modern medical research. Driven by the distributed nature of medical data, the collaboration …
modern medical research. Driven by the distributed nature of medical data, the collaboration …
Dyps: Dynamic, private and secure gwas
Genome-Wide Association Studies (GWAS) identify the genomic variations that are
statistically associated with a particular phenotype (eg, a disease). The confidence in GWAS …
statistically associated with a particular phenotype (eg, a disease). The confidence in GWAS …