Abstract: This work develops a distributed graph neural network (GNN) methodology for mesh-based modeling applications using a consistent neural message passing layer. As the name implies, the focus ...
Abstract: Deep models excel in analyzing image data. However, recent studies on Black-Box Model Inversion (MI) Attacks against image models have revealed the potential to recover concealed (via ...
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