Authors
Matthew Fredrikson, Eric Lantz, Somesh Jha, Simon Lin, David Page, Thomas Ristenpart
Publication date
2014
Conference
USENIX Security
Publisher
USENIX
Description
We initiate the study of privacy in pharmacogenetics, wherein machine learning models are used to guide medical treatments based on a patient’s genotype and background. Performing an in-depth case study on privacy in personalized warfarin dosing, we show that suggested models carry privacy risks, in particular because attackers can perform what we call model inversion: an attacker, given the model and some demographic information about a patient, can predict the patient’s genetic markers.
Scholar articles
M Fredrikson, E Lantz, S Jha, S Lin, D Page… - 23rd USENIX security symposium (USENIX Security 14 …, 2014