Adversarial attacks on a multimodal Alzheimer's disease detection system reveal complex interdependences between heterogeneous modalities
{{output}}
Multi-modal models that fuse neuroimaging with clinical assessment data represent the current state of the art for automated Alzheimer's disease detection, yet their adversarial robustness remains poorly understood. We systematically investigated adversarial ... ...
