[HTML][HTML] Privacy preserving processing of genomic data: A survey
Recently, the rapid advance in genome sequencing technology has led to production of
huge amount of sensitive genomic data. However, a serious privacy challenge is confronted …
huge amount of sensitive genomic data. However, a serious privacy challenge is confronted …
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 …
Secure genomic testing with size-and position-hiding private substring matching
Recent progress in genomics and bioinformatics is bringing complete and on-demand
sequencing of human (and other) genomes closer and closer to reality. Despite exciting new …
sequencing of human (and other) genomes closer and closer to reality. Despite exciting new …
Improving the DGK comparison protocol
T Veugen - 2012 IEEE International Workshop on Information …, 2012 - ieeexplore.ieee.org
When processing signals in the encrypted domain, homomorphic encryption can be used to
enable linear operations on encrypted data. Comparison of encrypted data however …
enable linear operations on encrypted data. Comparison of encrypted data however …
Toward privacy-preserving healthcare monitoring based on time-series activities over cloud
The thriving of the Internet of Things (IoT) has become the enabler of smart eHealthcare,
which greatly benefits patients by providing various data-driven healthcare monitoring …
which greatly benefits patients by providing various data-driven healthcare monitoring …
BLOOM: BLoom filter based oblivious outsourced matchings
Background Whole genome sequencing has become fast, accurate, and cheap, paving the
way towards the large-scale collection and processing of human genome data …
way towards the large-scale collection and processing of human genome data …
Secure computation of hidden Markov models and secure floating-point arithmetic in the malicious model
Hidden Markov model (HMM) is a popular statistical tool with a large number of applications
in pattern recognition. In some of these applications, such as speaker recognition, the …
in pattern recognition. In some of these applications, such as speaker recognition, the …
A survey of secure multiparty computation protocols for privacy preserving genetic tests
T Dugan, X Zou - 2016 IEEE First International Conference on …, 2016 - ieeexplore.ieee.org
We discuss several protocols that apply secure multiparty computation to privacy preserving
genetic testing. We categorize methods into those using oblivious finite automata, additive …
genetic testing. We categorize methods into those using oblivious finite automata, additive …
Privacy-preserving whole genome sequence processing through proxy-aided ORAM
Widespread use and low prices of genomic sequencing bring us into the area of
personalized medicine and biostatistics of large cohorts. As the processed genomic data is …
personalized medicine and biostatistics of large cohorts. As the processed genomic data is …
Processing encrypted floating point signals
M Franz, S Katzenbeisser - … of the thirteenth ACM multimedia workshop …, 2011 - dl.acm.org
An important problem in the context of signal processing in the encrypted domain (SPEED)
is to perform secure computations on real-valued signals. This paper presents a first …
is to perform secure computations on real-valued signals. This paper presents a first …