Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning

<h3>Abstract</h3><p dir="ltr">In the advanced metering infrastructure (AMI) of the smart grid, smart meters (SMs) are deployed to collect fine-grained electricity consumption data, enabling billing, load monitoring, and efficient energy management. However, some consumers...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Atef H. Bondok (19482352) (author)
مؤلفون آخرون:	Mohamed Mahmoud (4544233) (author), Mahmoud M. Badr (19482355) (author), Mostafa M. Fouda (14768509) (author), Mohamed Abdallah (3073191) (author), Maazen Alsabaan (17714529) (author)
منشور في:	2023
الموضوعات:	Engineering Electrical engineering Information and computing sciences Cybersecurity and privacy Data management and data science Machine learning Security evasion attacks federated learning and smart power grid Training Data models Smart grids Detectors Smart meters Servers Federated learning Power grids
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Novel Evasion Attacks Against Adversarial Training Defense for Smart Grid Federated Learning

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