Decision and Game Theory for Security

Machine Learning and Security.- Distributed Generative Adversarial Networks for Anomaly Detection.- Learning and Planning in the Feature Deception Problem.- A Realistic Approach for Network Traffic Obfuscation using Adversarial Machine Learning.- Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense.- Lie Another Day: Demonstrating Bias in a Multi-Round Cyber Deception Game of Questionable Veracity.- Cyber Deception.- Exploiting Bounded Rationality in Risk-based Cyber Camouflage Games.- Farsighted Risk Mitigation of Lateral Movement Using Dynamic Cognitive Honeypots.- Harnessing the Power of Deception in Attack Graph-Based Security Games.- Decoy Allocation Games on Graphs with Temporal Logic Objectives.- Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception.- Cyber-Physical System Security.- Secure Discrete-Time Linear-Quadratic Mean-Field Games.- Detection of Dynamically Changing Leaders in Complex Swarms from ObservedDynamic Data.- Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments.- Security of Network Systems.- Blocking Adversarial In uence in Social Networks.- Normalizing Flow Policies for Multi-agent Systems.- A Game Theoretic Framework for Software Diversity for Network Security.- Partially Observable Stochastic Games for Cyber Deception against Network Epidemic.- Combating Online Counterfeits: A Game-Theoretic Analysis of Cyber Supply Chain Ecosystem.- Theoretic Foundations of Security Games.- On the Characterization of Saddle Point Equilibrium for Security Games with Additive Utility.- MASAGE: Model-Agnostic Sequential and Adaptive Game Estimation.- Using One-Sided Partially Observable Stochastic Games for Solving Zero-Sum Security Games with Sequential Attacks.- A Data-Driven Distributionally Robust Game using Wasserstein Distance.- Security Games over Lexicographic Orders.- Game Theory on Attack Graph for Cyber Deception.- Attacking Machine