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The rise of biomedical foundation models creates new hurdles in model testing and authorization, given their broad capabilities and susceptibility to complex distribution shifts. We suggest tailoring ...

Image features need to be robust against differences in positioning, acquisition and segmentation to ensure reproducibility. Radiomic models that only include robust features can be used to analyse ...

On November 16, IDEAL hosted a workshop focused on new directions on robustness in machine learning as part of the fall 2021 special quarter. Machine learning systems are widely deployed to facilitate ...

Test scenarios for robustness verification always contain many input stability issues, such as erroneous values, lack or loss of value, unexpected timing and unpredicted toggling. Certainly, there is ...