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“In principle” but In 20 years do we gave any cautionary tales? i don’t and follow this area somewhat. Homomorphic encryption is pretty hard to crack.
by robwwilliams 2y ago
“In principle” but In 20 years do we gave any cautionary tales? i don’t and follow this area somewhat. Homomorphic encryption is pretty hard to crack.
- dahinds 2y agoare you asking about methods to improve privacy of aggregated datasets? They seem to be not super popular with people in the field, I think because they sharply curtail how data can be used compared to having access to datasets with no strong privacy guarantees. I think the maybe more impactful recent shift is toward "trusted research environments" where you get to work with a particular dataset only in a controlled setting with actively monitored egress.
- robwwilliams 2y agoYes, that is the new UKBiobank approach. Homomorphic encryption enables standard GWAS workflows (not just summary stats) while “sharing” all genotypes and phenotypes. Richard Mott and colleagues have a paper and colleagues on this method; https://pubmed.ncbi.nlm.nih.gov/32327562/ https://pubmed.ncbi.nlm.nih.gov/32327562/