New framework evaluates model robustness against diverse, unforeseen attacks.
problem Real-world adversarial robustness is harder to assess than research suggests.
method ImageNet-UA framework for evaluating robustness against diverse, unseen attacks.
result Standard robustness measures fail to capture unforeseen robustness.