Robust CurveMoE: Multi-Norm Adversarial Defense for Mixture-of-Experts Models via Mode Connectivity
Experiments show that Robust CurveMoE consistently improves clean, norm-specific, and Union accuracy over MSD and ERMC and introduces contribution-guided partial updating, which selects influential curve parameters using initialization-based gradient scores, and theoretically bound the objective gap between partial and full curve optimization.