Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...
Abstract: False data injection (FDI) for inducing load redistribution attacks can pose significant overloading risks to power systems. In this paper, we propose a data-driven approach to investigate ...
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