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 ...
Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...
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