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Related Questions
- What are the key challenges in modality fusion that can impact the robustness of AI systems?
- How can multimodal fusion techniques, such as late fusion and early fusion, be used to improve robustness against adversarial attacks?
- What are the advantages of using multimodal fusion in AI systems compared to single-modal approaches in terms of robustness?
- Can you provide examples of successful applications of modality fusion in AI systems that have demonstrated improved robustness against adversarial attacks?
- What are the potential trade-offs between modality fusion and other AI system design considerations, such as computational resources and model complexity?
- How can modality fusion be used to improve the robustness of AI systems in the presence of noisy or missing data?
- What are some potential future research directions for modality fusion in the context of AI system robustness against adversarial attacks?
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