CertMoE: Robustness Certification for Mixture-of-Experts LLMs via Routing-Aware Smoothing↗ (원문, 새 창)

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arXiv:2610.29395v1 Announce Type: new Abstract: Provable robustness is a cornerstone of trustworthy machine learning, aiming to guarantee model predictions under adversarial perturbations. Existing certification frameworks, inspired by abstract interpretation or symbolic execution, typically assume a fixed computation graph, where input perturbations or variations affect only model outputs but not the underlying execution path. This assumption, however, is violated in Mixture-of-Experts (MoE) L