Skip to main content
. Author manuscript; available in PMC: 2017 Nov 30.
Published in final edited form as: Proc IEEE Symp Secur Priv Workshops. 2015 Jul 20;2015:41–49. doi: 10.1109/SPW.2015.25

Figure 1.

Figure 1

PrivMAF applied to the WTCCC dataset. In all plots we take n=1000 research subjects and a background population of size N=100,000. (a) Our privacy measure PrivMAF increases with the number of SNPs. The blue line corresponds to releasing MAFs with no rounding, the green line to releasing MAFs rounded to one decimal digit, and the red line to releasing MAFs rounded to two decimal digits. Rounding to two digits appears to add very little to privacy, whereas rounding to one digit achieves much greater privacy gains. (b) The blue line corresponds to releasing MAF with no noise, the red line to releasing MAF.5, and the green line to releasing MAF.1. Adding noise corresponding to ε = .5 seems to add very little to privacy, whereas taking ε = .1 achieves much greater privacy gains.