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Titlebook: Decision and Game Theory for Security; 11th International C Quanyan Zhu,John S. Baras,Juntao Chen Conference proceedings 2020 Springer Natu

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Detection of Dynamically Changing Leaders in Complex Swarms from Observed Dynamic Datacally changing, leaders. We rely on short-time observations of the trajectories of the UAVs and develop a leader detection scheme based on the notion of Granger causality. We proceed with the estimation of the swarm’s coordination laws, modeled by a generalized Cucker-Smale model with non-local repu
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Normalizing Flow Policies for Multi-agent Systemshese methods typically use networks that output the parameters of a diagonal Gaussian distribution from which the resulting action is sampled. In multi-agent contexts, however, better policies may require complex multimodal action distributions. Based on recent progress in density modeling, we propo
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A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learningin use. A key problem of using obfuscation methods is to determine an appropriate algorithm that introduces minimal changes but preserves the functionality of the protocol. We apply Adversarial Machine Learning techniques to find realistic small perturbations that can improve the security and privac
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Secure Discrete-Time Linear-Quadratic Mean-Field Gamesn is noisy, and hence the Mean-Field Equilibrium (MFE) of the SLQ-MFG does not exist in the class of linear controllers. We introduce the notion of an approximate MFE (.-MFE) and prove that the MFE of the standard (non-secure) LQ-MFG is an .-MFE of the SLQ-MFG. Also, we show that . as the estimation
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