Deceptive Maneuvers: Subverting CNN-AdaBoost Model for Energy Theft Detection
As deep learning models become more prevalent in smart grid systems, ensuring their accuracy in tasks like identifying abnormal customer behavior is increasingly important. As its use is increased in smart grids to detect energy theft, crafting adversarial data by attackers to deceive the model...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
University of Banja Luka
2024-12-01
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| Colección: | Electronics |
| Acceso en línea: | https://els-journal.net/wp/?page_id=845 |
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