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News/Adversarial Robustness in One-Stage Learning-to-Defer
arxiv
PublishedMay 21, 2026 at 4:00 AM
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Adversarial Robustness in One-Stage Learning-to-Defer

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Publisher summary· verbatim

arXiv:2510.10988v2 Announce Type: replace-cross Abstract: Learning-to-Defer (L2D) enables hybrid decision-making by routing inputs either to a predictor or to external experts. While promising, L2D is highly vulnerable to adversarial perturbations, which can not only flip predictions but also manipu

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