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 ...

So many productivity methods ask you to prioritize your daily tasks by considering how much time or effort they'll require, then tackling the resource-heavy ones first. For some people, that's a solid ...