Defending AI Models Against Adversarial Attacks in Smart Grids Using Deep Learning

Adversarial attacks involve manipulating data to trick Artificial Intelligence (AI) models, making false predictions or classifications or even disrupting the normal functions of the smart grid. This can be done by providing the wrong information to the models, hence producing wrong predictions and...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Gabriel Avelino Sampedro, Stephen Ojo, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Vincent Karovic
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Adversarial attacks smart grids denial-of-service (DOS) attacks backdoor attacks multi-layer perceptron (MLP)
Online Access:	https://ieeexplore.ieee.org/document/10704665/