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Found 2 papers, 1 papers with code
Self-Correcting Neural Networks For Safe Classification
These constraints relate requirements on the order of the classes output by a classifier to conditions on its input, and are expressive enough to encode various interesting examples of classifier safety specifications from the literature.
Fast Geometric Projections for Local Robustness Certification
Local robustness ensures that a model classifies all inputs within an $\ell_2$-ball consistently, which precludes various forms of adversarial inputs.
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