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Predicting and planning against real-world adversaries: an end-to-end pipeline to combat illegal wildlife poachers on a global scale
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Real-world evaluation and deployment of wildlife crime prediction models
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When AI helps wildlife conservation: learning adversary behavior in green security games
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Combating adversaries under uncertainties in real-world security problems: advanced game-theoretic behavioral models and robust algorithms
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Human adversaries in security games: integrating models of bounded rationality and fast algorithms
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Handling attacker’s preference in security domains: robust optimization and learning approaches
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Towards addressing spatio-temporal aspects in security games
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Not a Lone Ranger: unleashing defender teamwork in security games
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The human element: addressing human adversaries in security domains
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