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Private Graph Extraction Via Feature Explanations: Iyiola E. Olatunji Mandeep Rathee by adhilamigoz is a document available to read on EtoBox.

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This document investigates the privacy risks associated with releasing feature explanations in graph neural networks (GNNs) and their susceptibility to graph reconstruction attacks. It presents various attack methods that exploit model explanations to infer private graph structures, highlighting the effectiveness of gradient-based explanations despite their low utility. The authors propose a defense mechanism using a randomized response approach to mitigate the success rate of these attacks while maintainin

Author

adhilamigoz

Language

EN