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This paper proposes an exemplar-based machine learning approach to objectively classify gust-induced pressure-load measurements across multiple flight attitudes, identifying nine fundamental response types from 3480 measurements on a flying-wing model.
This paper studies adversarial attacks on continuous data summarization under similarity-level perturbations via DR-submodular optimization, proposing multi-target attack generation as a min-max problem and robust defense as a regularized max-min problem, with theoretical guarantees and experiments.