2024
Quantifying and Enhancing Multi-modal Robustness with Modality Preference
ICLR 2024poster
Multi-modal models have shown a promising capability to effectively integrate information from various sources, yet meanwhile, they are found vulnerable to pervasive perturbations, such as uni-modal attacks and missing conditions. To counter these perturbations, robust multi-modal representations ar…