Author

W. Kim

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Jul 2026

RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations

Robust Mixture of Low-Rank Experts (RoME) is proposed, where each expert is a low-rank additive update to the shared backbone, allowing it to capture threat-common features while experts focus on threat-specific information.

W. Kim, Kyle Min, Suhyeon Ha et al. · arXiv.org · 0 citations

Preprint Aug 2026

EvBS: Event-guided Blur Synthesis for Domain-adaptive Motion Deblurring

EvBS is proposed, an event-guided blur synthesis framework that generates diverse training pairs for calibrating pre-trained models to the target domain and effectively enhances the robustness of existing deblurring models on unseen testing datasets.

Junsik Jung, S. Choi, Yoonki Cho et al. · 0 citations