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db6461eaf0eaeaad1d9c4a70e4818cbd-Supplemental-Conference.pdf

Neural Information Processing Systems

Weshowaseparation result: on one hand, if the query radiusλis strictly smaller than the adversary's perturbation budgetρ, then distribution-free robust learning is impossible for a widevarietyofconcept classes; ontheotherhand,thesettingλ=ρallowsusto develop robust ERM algorithms.








LearningGlobalTransparentModelsConsistentwith LocalContrastiveExplanations

Neural Information Processing Systems

Inthese methods, for an input, an explanation is in the form of a contrast point differing in very few features from the original input and lying inadifferent class. Otherworks tryto build globally interpretable models likedecision trees and rule lists based onthe datausing actual labels orbased ontheblack-box models predictions.