displayName: AdvGLUE labelTypes: - Text license: - CC BY-SA 4.0 mediaTypes: - Text paperUrl: https://arxiv.org/pdf/2111.02840v2.pdf publishDate: "2021" publishUrl: https://adversarialglue.github.io/ p
We have developed three datasets, referred to as ER-C, Mito-C and Nucleus-C, respectively, for benchmarking robustness of DNN models against corruptions and adversarial attacks in semantic segmentatio
This archive contains the data for the Shifts Benchmark on cargo vessel power consumption prediction. This dataset is provided by the Shifts Project to enable assessment of the robustness of models to