Showing 1–20 of 39 results
/ Date/ Name
Feb 27, 2022The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security GamesNov 5, 2020Measuring Data Collection Diligence for Community HealthcareNov 20, 2019Solving Online Threat Screening Games using Constrained Action Space Reinforcement LearningNov 11, 2016Towards the Science of Security and Privacy in Machine LearningMay 5, 2025Temporal Robustness in Discrete Time Linear Dynamical SystemsAug 10, 2025Strategic Incentivization for Locally Differentially Private Federated LearningOct 13, 2018Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection SystemDec 16, 2019AI for Social Impact: Learning and Planning in the Data-to-Deployment PipelineOct 15, 2024Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature PoolingApr 12, 2026Privacy as Permissible Operations: An ABAC Framework for Policy-Law ComplianceFeb 13, 2022Beyond NaN: Resiliency of Optimization Layers in The Face of InfeasibilityJun 7, 2020Generating Realistic Stock Market Order StreamsMar 13, 2019Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under UncertaintyDec 7, 2024Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMsJan 24, 2022Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative ModelsApr 25, 2022Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game ApproachNov 26, 2023Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement LearningNov 11, 2017Practical Scalability for Stackelberg Security GamesSep 13, 2017A Learning and Masking Approach to Secure LearningOct 30, 2015Learning Adversary Behavior in Security Games: A PAC Model Perspective