34 citations · 86 across the 12 of their papers we have counts for
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q-bio.QM2019★ 11 cited
Representation Transfer for Differentially Private Drug Sensitivity Prediction
Teppo Niinimäki, Mikko Heikkilä, Antti Honkela +1
Motivation: Human genomic datasets often contain sensitive information that limits use and sharing of the data. In particular, simple anonymisation strategies fail to provide suffi…
stat.ML2019★ 11 cited
Differentially Private Markov Chain Monte Carlo
Mikko A. Heikkilä, Joonas Jälkö, Onur Dikmen +1
Recent developments in differentially private (DP) machine learning and DP Bayesian learning have enabled learning under strong privacy guarantees for the training data subjects. I…