Showing 1–20 of 24 results
/ Date/ Name
Jun 28, 2024Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement LearningDec 9, 2024Machine Learning Driven Smishing Detection Framework for Mobile SecurityJan 8, 2025The Future of AI: Exploring the Potential of Large Concept ModelsSep 14, 2025RegimeFolio: A Regime Aware ML System for Sectoral Portfolio Optimization in Dynamic MarketsDec 16, 2022Discovering Structural Hole Spanners in Dynamic Networks via Graph Neural NetworksFeb 17, 2025Maintenance of Structural Hole Spanners in Dynamic NetworksApr 7, 2022Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity OptimisationFeb 26, 2023Discovering Top-k Structural Hole Spanners in Dynamic NetworksFeb 24, 2023Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse NetworksMar 22, 2024Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice ArchitecturesSep 22, 2023Enhancing Network Resilience through Machine Learning-powered Graph Combinatorial Optimization: Applications in Cyber Defense and Information DiffusionJul 31, 2024Microservice Vulnerability Analysis: A Literature Review with Empirical InsightsDec 31, 2024Detection and Prevention of Smishing AttacksDec 6, 2024ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language ModelsMay 19, 2023Cost Sharing Public Project with Minimum Release DelayApr 10, 2025CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber DefendersApr 8, 2023Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory SystemsJan 29, 2025CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius MaximizationMay 16, 2025Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber AgentsMay 16, 2025Co-Evolutionary Defence of Active Directory Attack Graphs via GNN-Approximated Dynamic Programming