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Found 6 papers, 1 papers with code
An Incremental Gray-box Physical Adversarial Attack on Neural Network Training
Finally, the attack effectiveness property was concluded from the fact that it was able to flip the sign of the loss gradient in the conducted experiments to become positive, which indicated noisy and unstable training.
Harris Hawks Feature Selection in Distributed Machine Learning for Secure IoT Environments
Although IoT applications are helpful in smart building applications, they present a real risk as the large number of interconnected devices in those buildings, using heterogeneous networks, increases the number of potential IoT attacks.
Energy Pricing in P2P Energy Systems Using Reinforcement Learning
The microgrid considers consumers, prosumers, the service provider, and a community battery.
Integrating Digital Twin and Advanced Intelligent Technologies to Realize the Metaverse
In this article, we discuss some of the key issues required in order to attain realization of metaverse services.
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
The scenario results showed a decrease of 522. 2 kW of active power when compared to original consumption over a 200-hours period.
Edge Intelligence for Empowering IoT-based Healthcare Systems
The objective of this article is to highlight the benefits of the adoption of edge intelligent technology, along with AI in smart healthcare systems.
