(Idea introduced to me by @anishmohammed.) If you, the researcher, just want to compute an average value of a variable, or a correlation between variables -- some map-reduce function on a set of records that doesn't preserve any individual record --
-
-
Show this thread
-
you could provide a zero-knowledge proof that your computation does not save any individual record, and only unlock access to the public dataset if your computation's proof "goes through." Researchers could learn aggregate statistics without snooping on individuals.
Show this thread
End of conversation
New conversation -
-
-
Is this true? Facebook has shown that most people really don't care about privacy. Several years ago I donated my DNA to an open source program. If 23andMe said $10 discount if make your DNA public domain I bet lots of people would do.
-
I don't think most people trust or mistrust based on the security of their data; I think they trust those they consider benevolent. ("One can set up a system that is secure even from bad actors" is a surprisingly advanced concept.)
- 1 more reply
New conversation -
-
-
@JohnDCook has been working on this and tweeting and blogging about it. You’ll probably find the math interestingThanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.