Progress in Meta Learning part1(Machine Learning)
1.Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-LearningApproach (arXiv) Author : Yunfei Ge, Tao Li, Quanyan Zhu Abstract : The increasing connectivity and intricate remote access environment have made traditional perimeter-based network defense vulnerable. Zero trust becomes a promising approach to provide defense policies based on agent-centric trust evaluation…
Progress in Meta Learning part1(Machine Learning) 1.Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-LearningApproach (arXiv) Author : Yunfei Ge, Tao Li, Quanyan Zhu Abstract : The increasing connectivity and intricate remote access environment have made traditional perimeter-based network defense vulnerable. Zero trust becomes a promising approach to provide defense policies based on agent-centric trust evaluation… deep-learning
Progress Meta Learning part1Machine Learning 1ScenarioAgnostic ZeroTrust Defense Explainable Threshold Policy MetaLearningApproach arXiv Author Yunfei Ge Tao Li Quanyan Zhu Abstract increasing connectivity intricate remote access environment made traditional perimeterbased network defense vulnerable Zero trust becomes promising approach provide defense policy based agentcentric trust evaluation… deeplearning