8 citations · 26 across the 19 of their papers we have counts for
4 papers · 1 filter
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji, Thorben Funke, Megha Khosla
With the increasing popularity of graph neural networks (GNNs) in several sensitive applications like healthcare and medicine, concerns have been raised over the privacy aspects of…
Achieving differential privacy for -nearest neighbors based outlier detection by data partitioning
Jens Rauch, Iyiola E. Olatunji, Megha Khosla
When applying outlier detection in settings where data is sensitive, mechanisms which guarantee the privacy of the underlying data are needed. The -nearest neighbors (-NN) al…
A Review of Anonymization for Healthcare Data
Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner +1
Mining health data can lead to faster medical decisions, improvement in the quality of treatment, disease prevention, reduced cost, and it drives innovative solutions within the he…
Membership Inference Attack on Graph Neural Networks
Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla
Graph Neural Networks (GNNs), which generalize traditional deep neural networks on graph data, have achieved state-of-the-art performance on several graph analytical tasks. We focu…