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Found 3 papers, 1 papers with code
Certified Robust Neural Networks: Generalization and Corruption Resistance
We demonstrate both theoretically as well as empirically the loss to enjoy a certified level of robustness against two common types of corruption--data evasion and poisoning attacks--while ensuring guaranteed generalization.
Holistic Robust Data-Driven Decisions
However, we show how in the context of classification and regression problems that several popular regularized and robust formulations reduce to a particular case of our proposed novel formulation.
Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions
We define first a sensible yard stick with which to measure the quality of any data-driven formulation and subsequently seek to find an optimal such formulation.
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