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Found 4 papers, 1 papers with code
Likelihood-based Sensor Calibration using Affine Transformation
The results show an improvement for both the simulation and the experiments with real data.
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Finally, we demonstrate that the layers $Block4\_conv1$ and $Block5\_cov1$ of the VGG-16 model are more susceptible to adversarial attacks.
An Adaptive Multi-Agent Physical Layer Security Framework for Cognitive Cyber-Physical Systems
With the advancement of the machine learning algorithms, the transmission scheme providing the best performance can be utilized to sustain a reliable network of CCPS agents equipped with self-decision mechanisms, where the interactions between each agent are modeled in terms of service quality, security, and cost dimensions.
EVO-RL: Evolutionary-Driven Reinforcement Learning
Furthermore, we propose that this distinction is decided by the evolutionary process, thus allowing evo-RL to be adaptive to different environments.
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