Multi-target attacks and defenses for continuous data summarization via DR-submodular min-max and max-min formulations with approximation algorithms and experiments showing effectiveness in low-to-moderate budgets.
Non-smooth and holder-smooth submodular maximization,
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Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
Multi-target attacks and defenses for continuous data summarization via DR-submodular min-max and max-min formulations with approximation algorithms and experiments showing effectiveness in low-to-moderate budgets.