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Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?
Graph neural networks (GNNs) have shown promising results on real-life datasets and applications, including healthcare, finance, and …
Iyiola E. Olatunji, Anmar Hizber, Oliver Sihlovec, Megha Khosla
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Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning
When applying outlier detection in settings where data is sensitive, mechanisms which guarantee the privacy of the underlying data are …
Jens Rauch, Iyiola E. Olatunji, Megha Khosla
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