The optimal excess error for agnostic learning under instance-targeted poisoning is eTheta(sqrt(d eta)), achieved by a randomized learner and unavoidable even against adversaries who see the learner's random seed.
Robustly-reliable learn- ers under poisoning attacks
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Agnostic Learning under Targeted Poisoning: Optimal Rates and the Role of Randomness
The optimal excess error for agnostic learning under instance-targeted poisoning is eTheta(sqrt(d eta)), achieved by a randomized learner and unavoidable even against adversaries who see the learner's random seed.