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Defending Against Adversarial Attacks by Energy Storage Facility. (arXiv:2205.09522v2 [cs.CR] UPDATED)
Nov. 1, 2022, 1:20 a.m. | Jiawei Li, Jianxiao Wang, Lin Chen, Yang Yu
cs.CR updates on arXiv.org arxiv.org
Adversarial attacks on data-driven algorithms applied in the power system
will be a new type of threat to grid security. Literature has demonstrated that
the adversarial attack on the deep-neural network can significantly mislead the
load fore-cast of a power system. However, it is unclear how the new type of
attack impacts the operation of the grid system. In this research, we manifest
that the adversarial algorithm attack induces a significant cost-increase risk
which will be exacerbated by the growing …
More from arxiv.org / cs.CR updates on arXiv.org
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