Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K - 1M
Tags:
adversarial-robustness
common-corruptions
robustness
benchmark
transfer-attacks
vision-language-models
License:
| license: cc-by-nc-4.0 | |
| language: | |
| - en | |
| pretty_name: RobustGenBench | |
| size_categories: | |
| - 100K<n<1M | |
| task_categories: | |
| - image-classification | |
| task_ids: | |
| - multi-class-image-classification | |
| tags: | |
| - adversarial-robustness | |
| - common-corruptions | |
| - robustness | |
| - benchmark | |
| - transfer-attacks | |
| - vision-language-models | |
| - autoattack | |
| configs: | |
| - config_name: caltech101 | |
| default: true | |
| data_files: | |
| - split: train | |
| path: data/caltech101/train-*.parquet | |
| - split: validation | |
| path: data/caltech101/validation-*.parquet | |
| - split: test | |
| path: data/caltech101/test-*.parquet | |
| - split: common | |
| path: data/caltech101/common-*.parquet | |
| - split: random_linf_30 | |
| path: data/caltech101/random_linf_30-*.parquet | |
| - split: clip_vitb16_l1_75 | |
| path: data/caltech101/clip_vitb16_l1_75-*.parquet | |
| - split: clip_vitb16_l1_300 | |
| path: data/caltech101/clip_vitb16_l1_300-*.parquet | |
| - split: clip_vitb16_l2_2 | |
| path: data/caltech101/clip_vitb16_l2_2-*.parquet | |
| - split: clip_vitb16_l2_8 | |
| path: data/caltech101/clip_vitb16_l2_8-*.parquet | |
| - split: clip_vitb16_linf_4 | |
| path: data/caltech101/clip_vitb16_linf_4-*.parquet | |
| - split: clip_vitb16_linf_8 | |
| path: data/caltech101/clip_vitb16_linf_8-*.parquet | |
| - split: clip_vitb16_linf_30 | |
| path: data/caltech101/clip_vitb16_linf_30-*.parquet | |
| - split: clip_vith14_l1_75 | |
| path: data/caltech101/clip_vith14_l1_75-*.parquet | |
| - split: clip_vith14_l1_300 | |
| path: data/caltech101/clip_vith14_l1_300-*.parquet | |
| - split: clip_vith14_l2_2 | |
| path: data/caltech101/clip_vith14_l2_2-*.parquet | |
| - split: clip_vith14_l2_8 | |
| path: data/caltech101/clip_vith14_l2_8-*.parquet | |
| - split: clip_vith14_linf_4 | |
| path: data/caltech101/clip_vith14_linf_4-*.parquet | |
| - split: clip_vith14_linf_8 | |
| path: data/caltech101/clip_vith14_linf_8-*.parquet | |
| - split: clip_vith14_linf_30 | |
| path: data/caltech101/clip_vith14_linf_30-*.parquet | |
| - split: metaclip_vith14_l1_75 | |
| path: data/caltech101/metaclip_vith14_l1_75-*.parquet | |
| - split: metaclip_vith14_l1_300 | |
| path: data/caltech101/metaclip_vith14_l1_300-*.parquet | |
| - split: metaclip_vith14_l2_2 | |
| path: data/caltech101/metaclip_vith14_l2_2-*.parquet | |
| - split: metaclip_vith14_l2_8 | |
| path: data/caltech101/metaclip_vith14_l2_8-*.parquet | |
| - split: metaclip_vith14_linf_4 | |
| path: data/caltech101/metaclip_vith14_linf_4-*.parquet | |
| - split: metaclip_vith14_linf_8 | |
| path: data/caltech101/metaclip_vith14_linf_8-*.parquet | |
| - split: metaclip_vith14_linf_30 | |
| path: data/caltech101/metaclip_vith14_linf_30-*.parquet | |
| - split: siglip2_so400m_l1_75 | |
| path: data/caltech101/siglip2_so400m_l1_75-*.parquet | |
| - split: siglip2_so400m_l1_300 | |
| path: data/caltech101/siglip2_so400m_l1_300-*.parquet | |
| - split: siglip2_so400m_l2_2 | |
| path: data/caltech101/siglip2_so400m_l2_2-*.parquet | |
| - split: siglip2_so400m_l2_8 | |
| path: data/caltech101/siglip2_so400m_l2_8-*.parquet | |
| - split: siglip2_so400m_linf_4 | |
| path: data/caltech101/siglip2_so400m_linf_4-*.parquet | |
| - split: siglip2_so400m_linf_8 | |
| path: data/caltech101/siglip2_so400m_linf_8-*.parquet | |
| - split: siglip2_so400m_linf_30 | |
| path: data/caltech101/siglip2_so400m_linf_30-*.parquet | |
| - split: siglip2_base_linf_30 | |
| path: data/caltech101/siglip2_base_linf_30-*.parquet | |
| - config_name: fgvc-aircraft-2013b | |
| data_files: | |
| - split: train | |
| path: data/fgvc-aircraft-2013b/train-*.parquet | |
| - split: validation | |
| path: data/fgvc-aircraft-2013b/validation-*.parquet | |
| - split: test | |
| path: data/fgvc-aircraft-2013b/test-*.parquet | |
| - split: common | |
| path: data/fgvc-aircraft-2013b/common-*.parquet | |
| - split: random_linf_30 | |
| path: data/fgvc-aircraft-2013b/random_linf_30-*.parquet | |
| - split: clip_vitb16_l1_75 | |
| path: data/fgvc-aircraft-2013b/clip_vitb16_l1_75-*.parquet | |
| - split: clip_vitb16_l1_300 | |
| path: data/fgvc-aircraft-2013b/clip_vitb16_l1_300-*.parquet | |
| - split: clip_vitb16_l2_2 | |
| path: data/fgvc-aircraft-2013b/clip_vitb16_l2_2-*.parquet | |
| - split: clip_vitb16_l2_8 | |
| path: data/fgvc-aircraft-2013b/clip_vitb16_l2_8-*.parquet | |
| - split: clip_vitb16_linf_4 | |
| path: data/fgvc-aircraft-2013b/clip_vitb16_linf_4-*.parquet | |
| - split: clip_vitb16_linf_8 | |
| path: data/fgvc-aircraft-2013b/clip_vitb16_linf_8-*.parquet | |
| - split: clip_vitb16_linf_30 | |
| path: data/fgvc-aircraft-2013b/clip_vitb16_linf_30-*.parquet | |
| - split: clip_vith14_l1_75 | |
| path: data/fgvc-aircraft-2013b/clip_vith14_l1_75-*.parquet | |
| - split: clip_vith14_l1_300 | |
| path: data/fgvc-aircraft-2013b/clip_vith14_l1_300-*.parquet | |
| - split: clip_vith14_l2_2 | |
| path: data/fgvc-aircraft-2013b/clip_vith14_l2_2-*.parquet | |
| - split: clip_vith14_l2_8 | |
| path: data/fgvc-aircraft-2013b/clip_vith14_l2_8-*.parquet | |
| - split: clip_vith14_linf_4 | |
| path: data/fgvc-aircraft-2013b/clip_vith14_linf_4-*.parquet | |
| - split: clip_vith14_linf_8 | |
| path: data/fgvc-aircraft-2013b/clip_vith14_linf_8-*.parquet | |
| - split: clip_vith14_linf_30 | |
| path: data/fgvc-aircraft-2013b/clip_vith14_linf_30-*.parquet | |
| - split: metaclip_vith14_l1_75 | |
| path: data/fgvc-aircraft-2013b/metaclip_vith14_l1_75-*.parquet | |
| - split: metaclip_vith14_l1_300 | |
| path: data/fgvc-aircraft-2013b/metaclip_vith14_l1_300-*.parquet | |
| - split: metaclip_vith14_l2_2 | |
| path: data/fgvc-aircraft-2013b/metaclip_vith14_l2_2-*.parquet | |
| - split: metaclip_vith14_l2_8 | |
| path: data/fgvc-aircraft-2013b/metaclip_vith14_l2_8-*.parquet | |
| - split: metaclip_vith14_linf_4 | |
| path: data/fgvc-aircraft-2013b/metaclip_vith14_linf_4-*.parquet | |
| - split: metaclip_vith14_linf_8 | |
| path: data/fgvc-aircraft-2013b/metaclip_vith14_linf_8-*.parquet | |
| - split: metaclip_vith14_linf_30 | |
| path: data/fgvc-aircraft-2013b/metaclip_vith14_linf_30-*.parquet | |
| - split: siglip2_base_linf_30 | |
| path: data/fgvc-aircraft-2013b/siglip2_base_linf_30-*.parquet | |
| - config_name: flowers-102 | |
| data_files: | |
| - split: train | |
| path: data/flowers-102/train-*.parquet | |
| - split: validation | |
| path: data/flowers-102/validation-*.parquet | |
| - split: test | |
| path: data/flowers-102/test-*.parquet | |
| - split: common | |
| path: data/flowers-102/common-*.parquet | |
| - split: random_linf_30 | |
| path: data/flowers-102/random_linf_30-*.parquet | |
| - split: clip_vitb16_l1_75 | |
| path: data/flowers-102/clip_vitb16_l1_75-*.parquet | |
| - split: clip_vitb16_l1_300 | |
| path: data/flowers-102/clip_vitb16_l1_300-*.parquet | |
| - split: clip_vitb16_l2_2 | |
| path: data/flowers-102/clip_vitb16_l2_2-*.parquet | |
| - split: clip_vitb16_l2_8 | |
| path: data/flowers-102/clip_vitb16_l2_8-*.parquet | |
| - split: clip_vitb16_linf_4 | |
| path: data/flowers-102/clip_vitb16_linf_4-*.parquet | |
| - split: clip_vitb16_linf_8 | |
| path: data/flowers-102/clip_vitb16_linf_8-*.parquet | |
| - split: clip_vitb16_linf_30 | |
| path: data/flowers-102/clip_vitb16_linf_30-*.parquet | |
| - split: clip_vith14_l1_75 | |
| path: data/flowers-102/clip_vith14_l1_75-*.parquet | |
| - split: clip_vith14_l1_300 | |
| path: data/flowers-102/clip_vith14_l1_300-*.parquet | |
| - split: clip_vith14_l2_2 | |
| path: data/flowers-102/clip_vith14_l2_2-*.parquet | |
| - split: clip_vith14_l2_8 | |
| path: data/flowers-102/clip_vith14_l2_8-*.parquet | |
| - split: clip_vith14_linf_4 | |
| path: data/flowers-102/clip_vith14_linf_4-*.parquet | |
| - split: clip_vith14_linf_8 | |
| path: data/flowers-102/clip_vith14_linf_8-*.parquet | |
| - split: clip_vith14_linf_30 | |
| path: data/flowers-102/clip_vith14_linf_30-*.parquet | |
| - split: metaclip_vith14_l1_75 | |
| path: data/flowers-102/metaclip_vith14_l1_75-*.parquet | |
| - split: metaclip_vith14_l1_300 | |
| path: data/flowers-102/metaclip_vith14_l1_300-*.parquet | |
| - split: metaclip_vith14_l2_2 | |
| path: data/flowers-102/metaclip_vith14_l2_2-*.parquet | |
| - split: metaclip_vith14_l2_8 | |
| path: data/flowers-102/metaclip_vith14_l2_8-*.parquet | |
| - split: metaclip_vith14_linf_4 | |
| path: data/flowers-102/metaclip_vith14_linf_4-*.parquet | |
| - split: metaclip_vith14_linf_8 | |
| path: data/flowers-102/metaclip_vith14_linf_8-*.parquet | |
| - split: metaclip_vith14_linf_30 | |
| path: data/flowers-102/metaclip_vith14_linf_30-*.parquet | |
| - split: siglip2_so400m_l1_75 | |
| path: data/flowers-102/siglip2_so400m_l1_75-*.parquet | |
| - split: siglip2_so400m_l1_300 | |
| path: data/flowers-102/siglip2_so400m_l1_300-*.parquet | |
| - split: siglip2_so400m_l2_2 | |
| path: data/flowers-102/siglip2_so400m_l2_2-*.parquet | |
| - split: siglip2_so400m_l2_8 | |
| path: data/flowers-102/siglip2_so400m_l2_8-*.parquet | |
| - split: siglip2_so400m_linf_4 | |
| path: data/flowers-102/siglip2_so400m_linf_4-*.parquet | |
| - split: siglip2_so400m_linf_8 | |
| path: data/flowers-102/siglip2_so400m_linf_8-*.parquet | |
| - split: siglip2_so400m_linf_30 | |
| path: data/flowers-102/siglip2_so400m_linf_30-*.parquet | |
| - split: siglip2_base_linf_30 | |
| path: data/flowers-102/siglip2_base_linf_30-*.parquet | |
| - config_name: oxford-iiit-pet | |
| data_files: | |
| - split: train | |
| path: data/oxford-iiit-pet/train-*.parquet | |
| - split: validation | |
| path: data/oxford-iiit-pet/validation-*.parquet | |
| - split: test | |
| path: data/oxford-iiit-pet/test-*.parquet | |
| - split: common | |
| path: data/oxford-iiit-pet/common-*.parquet | |
| - split: random_linf_30 | |
| path: data/oxford-iiit-pet/random_linf_30-*.parquet | |
| - split: clip_vitb16_l1_75 | |
| path: data/oxford-iiit-pet/clip_vitb16_l1_75-*.parquet | |
| - split: clip_vitb16_l1_300 | |
| path: data/oxford-iiit-pet/clip_vitb16_l1_300-*.parquet | |
| - split: clip_vitb16_l2_2 | |
| path: data/oxford-iiit-pet/clip_vitb16_l2_2-*.parquet | |
| - split: clip_vitb16_l2_8 | |
| path: data/oxford-iiit-pet/clip_vitb16_l2_8-*.parquet | |
| - split: clip_vitb16_linf_4 | |
| path: data/oxford-iiit-pet/clip_vitb16_linf_4-*.parquet | |
| - split: clip_vitb16_linf_8 | |
| path: data/oxford-iiit-pet/clip_vitb16_linf_8-*.parquet | |
| - split: clip_vitb16_linf_30 | |
| path: data/oxford-iiit-pet/clip_vitb16_linf_30-*.parquet | |
| - split: clip_vith14_l1_75 | |
| path: data/oxford-iiit-pet/clip_vith14_l1_75-*.parquet | |
| - split: clip_vith14_l1_300 | |
| path: data/oxford-iiit-pet/clip_vith14_l1_300-*.parquet | |
| - split: clip_vith14_l2_2 | |
| path: data/oxford-iiit-pet/clip_vith14_l2_2-*.parquet | |
| - split: clip_vith14_l2_8 | |
| path: data/oxford-iiit-pet/clip_vith14_l2_8-*.parquet | |
| - split: clip_vith14_linf_4 | |
| path: data/oxford-iiit-pet/clip_vith14_linf_4-*.parquet | |
| - split: clip_vith14_linf_8 | |
| path: data/oxford-iiit-pet/clip_vith14_linf_8-*.parquet | |
| - split: clip_vith14_linf_30 | |
| path: data/oxford-iiit-pet/clip_vith14_linf_30-*.parquet | |
| - split: metaclip_vith14_l1_75 | |
| path: data/oxford-iiit-pet/metaclip_vith14_l1_75-*.parquet | |
| - split: metaclip_vith14_l1_300 | |
| path: data/oxford-iiit-pet/metaclip_vith14_l1_300-*.parquet | |
| - split: metaclip_vith14_l2_2 | |
| path: data/oxford-iiit-pet/metaclip_vith14_l2_2-*.parquet | |
| - split: metaclip_vith14_l2_8 | |
| path: data/oxford-iiit-pet/metaclip_vith14_l2_8-*.parquet | |
| - split: metaclip_vith14_linf_4 | |
| path: data/oxford-iiit-pet/metaclip_vith14_linf_4-*.parquet | |
| - split: metaclip_vith14_linf_8 | |
| path: data/oxford-iiit-pet/metaclip_vith14_linf_8-*.parquet | |
| - split: metaclip_vith14_linf_30 | |
| path: data/oxford-iiit-pet/metaclip_vith14_linf_30-*.parquet | |
| - split: siglip2_base_linf_30 | |
| path: data/oxford-iiit-pet/siglip2_base_linf_30-*.parquet | |
| - config_name: stanford_cars | |
| data_files: | |
| - split: train | |
| path: data/stanford_cars/train-*.parquet | |
| - split: validation | |
| path: data/stanford_cars/validation-*.parquet | |
| - split: test | |
| path: data/stanford_cars/test-*.parquet | |
| - split: common | |
| path: data/stanford_cars/common-*.parquet | |
| - split: random_linf_30 | |
| path: data/stanford_cars/random_linf_30-*.parquet | |
| - split: clip_vitb16_l1_75 | |
| path: data/stanford_cars/clip_vitb16_l1_75-*.parquet | |
| - split: clip_vitb16_l1_300 | |
| path: data/stanford_cars/clip_vitb16_l1_300-*.parquet | |
| - split: clip_vitb16_l2_2 | |
| path: data/stanford_cars/clip_vitb16_l2_2-*.parquet | |
| - split: clip_vitb16_l2_8 | |
| path: data/stanford_cars/clip_vitb16_l2_8-*.parquet | |
| - split: clip_vitb16_linf_4 | |
| path: data/stanford_cars/clip_vitb16_linf_4-*.parquet | |
| - split: clip_vitb16_linf_8 | |
| path: data/stanford_cars/clip_vitb16_linf_8-*.parquet | |
| - split: clip_vitb16_linf_30 | |
| path: data/stanford_cars/clip_vitb16_linf_30-*.parquet | |
| - split: clip_vith14_l1_75 | |
| path: data/stanford_cars/clip_vith14_l1_75-*.parquet | |
| - split: clip_vith14_l1_300 | |
| path: data/stanford_cars/clip_vith14_l1_300-*.parquet | |
| - split: clip_vith14_l2_2 | |
| path: data/stanford_cars/clip_vith14_l2_2-*.parquet | |
| - split: clip_vith14_l2_8 | |
| path: data/stanford_cars/clip_vith14_l2_8-*.parquet | |
| - split: clip_vith14_linf_4 | |
| path: data/stanford_cars/clip_vith14_linf_4-*.parquet | |
| - split: clip_vith14_linf_8 | |
| path: data/stanford_cars/clip_vith14_linf_8-*.parquet | |
| - split: clip_vith14_linf_30 | |
| path: data/stanford_cars/clip_vith14_linf_30-*.parquet | |
| - split: metaclip_vith14_l1_75 | |
| path: data/stanford_cars/metaclip_vith14_l1_75-*.parquet | |
| - split: metaclip_vith14_l1_300 | |
| path: data/stanford_cars/metaclip_vith14_l1_300-*.parquet | |
| - split: metaclip_vith14_l2_2 | |
| path: data/stanford_cars/metaclip_vith14_l2_2-*.parquet | |
| - split: metaclip_vith14_l2_8 | |
| path: data/stanford_cars/metaclip_vith14_l2_8-*.parquet | |
| - split: metaclip_vith14_linf_4 | |
| path: data/stanford_cars/metaclip_vith14_linf_4-*.parquet | |
| - split: metaclip_vith14_linf_8 | |
| path: data/stanford_cars/metaclip_vith14_linf_8-*.parquet | |
| - split: metaclip_vith14_linf_30 | |
| path: data/stanford_cars/metaclip_vith14_linf_30-*.parquet | |
| - split: siglip2_base_linf_30 | |
| path: data/stanford_cars/siglip2_base_linf_30-*.parquet | |
| - config_name: uc-merced-land-use-dataset | |
| data_files: | |
| - split: train | |
| path: data/uc-merced-land-use-dataset/train-*.parquet | |
| - split: validation | |
| path: data/uc-merced-land-use-dataset/validation-*.parquet | |
| - split: test | |
| path: data/uc-merced-land-use-dataset/test-*.parquet | |
| - split: common | |
| path: data/uc-merced-land-use-dataset/common-*.parquet | |
| - split: random_linf_30 | |
| path: data/uc-merced-land-use-dataset/random_linf_30-*.parquet | |
| - split: clip_vitb16_l1_75 | |
| path: data/uc-merced-land-use-dataset/clip_vitb16_l1_75-*.parquet | |
| - split: clip_vitb16_l1_300 | |
| path: data/uc-merced-land-use-dataset/clip_vitb16_l1_300-*.parquet | |
| - split: clip_vitb16_l2_2 | |
| path: data/uc-merced-land-use-dataset/clip_vitb16_l2_2-*.parquet | |
| - split: clip_vitb16_l2_8 | |
| path: data/uc-merced-land-use-dataset/clip_vitb16_l2_8-*.parquet | |
| - split: clip_vitb16_linf_4 | |
| path: data/uc-merced-land-use-dataset/clip_vitb16_linf_4-*.parquet | |
| - split: clip_vitb16_linf_8 | |
| path: data/uc-merced-land-use-dataset/clip_vitb16_linf_8-*.parquet | |
| - split: clip_vitb16_linf_30 | |
| path: data/uc-merced-land-use-dataset/clip_vitb16_linf_30-*.parquet | |
| - split: clip_vith14_l1_75 | |
| path: data/uc-merced-land-use-dataset/clip_vith14_l1_75-*.parquet | |
| - split: clip_vith14_l1_300 | |
| path: data/uc-merced-land-use-dataset/clip_vith14_l1_300-*.parquet | |
| - split: clip_vith14_l2_2 | |
| path: data/uc-merced-land-use-dataset/clip_vith14_l2_2-*.parquet | |
| - split: clip_vith14_l2_8 | |
| path: data/uc-merced-land-use-dataset/clip_vith14_l2_8-*.parquet | |
| - split: clip_vith14_linf_4 | |
| path: data/uc-merced-land-use-dataset/clip_vith14_linf_4-*.parquet | |
| - split: clip_vith14_linf_8 | |
| path: data/uc-merced-land-use-dataset/clip_vith14_linf_8-*.parquet | |
| - split: clip_vith14_linf_30 | |
| path: data/uc-merced-land-use-dataset/clip_vith14_linf_30-*.parquet | |
| - split: metaclip_vith14_l1_75 | |
| path: data/uc-merced-land-use-dataset/metaclip_vith14_l1_75-*.parquet | |
| - split: metaclip_vith14_l1_300 | |
| path: data/uc-merced-land-use-dataset/metaclip_vith14_l1_300-*.parquet | |
| - split: metaclip_vith14_l2_2 | |
| path: data/uc-merced-land-use-dataset/metaclip_vith14_l2_2-*.parquet | |
| - split: metaclip_vith14_l2_8 | |
| path: data/uc-merced-land-use-dataset/metaclip_vith14_l2_8-*.parquet | |
| - split: metaclip_vith14_linf_4 | |
| path: data/uc-merced-land-use-dataset/metaclip_vith14_linf_4-*.parquet | |
| - split: metaclip_vith14_linf_8 | |
| path: data/uc-merced-land-use-dataset/metaclip_vith14_linf_8-*.parquet | |
| - split: metaclip_vith14_linf_30 | |
| path: data/uc-merced-land-use-dataset/metaclip_vith14_linf_30-*.parquet | |
| - split: siglip2_so400m_l1_75 | |
| path: data/uc-merced-land-use-dataset/siglip2_so400m_l1_75-*.parquet | |
| - split: siglip2_so400m_l1_300 | |
| path: data/uc-merced-land-use-dataset/siglip2_so400m_l1_300-*.parquet | |
| - split: siglip2_so400m_l2_2 | |
| path: data/uc-merced-land-use-dataset/siglip2_so400m_l2_2-*.parquet | |
| - split: siglip2_so400m_l2_8 | |
| path: data/uc-merced-land-use-dataset/siglip2_so400m_l2_8-*.parquet | |
| - split: siglip2_so400m_linf_4 | |
| path: data/uc-merced-land-use-dataset/siglip2_so400m_linf_4-*.parquet | |
| - split: siglip2_so400m_linf_8 | |
| path: data/uc-merced-land-use-dataset/siglip2_so400m_linf_8-*.parquet | |
| - split: siglip2_so400m_linf_30 | |
| path: data/uc-merced-land-use-dataset/siglip2_so400m_linf_30-*.parquet | |
| - split: siglip2_base_linf_30 | |
| path: data/uc-merced-land-use-dataset/siglip2_base_linf_30-*.parquet | |
| # RobustGenBench | |
| **A standardized benchmark for robust generalization of image classifiers across common and adversarial ($\ell_1, \ell_2, \ell_\infty$) perturbations.** | |
| 📄 Paper · 💻 [Code](https://github.com/legolasflagstaff/robust_training) · 📜 [Citation](#citation) | |
| RobustGenBench evaluates how well a classifier keeps its accuracy on perturbation types it was not trained against. It provides six downstream classification datasets with fixed splits at 224×224 resolution, together with perturbed copies of every test set: | |
| - **Common corruptions** (11 types, severity 3): model-independent, the same images for every model. | |
| - **Random uniform noise** ($\ell_\infty \le 30/255$): a control for the adversarial perturbations. | |
| - **Transfer adversarial perturbations** (136,180 images): crafted with AutoAttack on 5 open-weight vision-language surrogates, across 7 budgets in $\ell_1$, $\ell_2$, $\ell_\infty$. | |
| Because the adversarial images are pre-computed, any model, including API-only systems such as vision-enabled LLMs, can be evaluated **by inference alone**, without GPU access. For white-box evaluation, attack your own model on the clean `test` split. | |
| In total: 5,420 clean test images and 147,020 perturbed test images. | |
| ## Quick start | |
| ```python | |
| from datasets import load_dataset | |
| # One config per dataset; one split per perturbation setting. | |
| clean = load_dataset("legolasflagstaff/RobustGenBench", "uc-merced-land-use-dataset", split="test") | |
| adv = load_dataset("legolasflagstaff/RobustGenBench", "uc-merced-land-use-dataset", split="clip_vith14_linf_30") | |
| row = adv[0] | |
| row["image"] # PIL.Image, 224×224 RGB | |
| adv.features["label"].int2str(row["label"]) # class name | |
| row["image_id"] # aligns with the clean image of the same id | |
| ``` | |
| Evaluate a classifier on every perturbation setting of one dataset: | |
| ```python | |
| from datasets import load_dataset, get_dataset_split_names | |
| repo, cfg = "legolasflagstaff/RobustGenBench", "flowers-102" | |
| for split in get_dataset_split_names(repo, cfg): | |
| if split in ("train", "validation"): | |
| continue | |
| ds = load_dataset(repo, cfg, split=split) | |
| acc = sum(predict(x["image"]) == x["label"] for x in ds) / len(ds) # your model here | |
| print(f"{split:24s} {acc:.3f}") | |
| ``` | |
| Splits are aligned by `image_id`: row *i* of every perturbed split is a perturbed version of row *i* of `test`, with the same label. | |
| ## Datasets | |
| | Config | Dataset | Domain | Granularity | Classes | Train | Validation | Test | | |
| |---|---|---|---|---|---|---|---| | |
| | `caltech101` | Caltech-101 | objects | coarse | 101 | 5,899 | 1,042 | 1,000 | | |
| | `fgvc-aircraft-2013b` | FGVC-Aircraft (2013b) | aircraft | fine | 100 | 3,334 | 3,333 | 1,000 | | |
| | `flowers-102` | Oxford Flowers-102 | flowers | fine | 102 | 1,020 | 1,020 | 1,000 | | |
| | `oxford-iiit-pet` | Oxford-IIIT Pet | pets | fine | 37 | 3,128 | 552 | 1,000 | | |
| | `stanford_cars` | Stanford Cars | cars | fine | 196 | 6,922 | 1,222 | 1,000 | | |
| | `uc-merced-land-use-dataset` | UC Merced Land Use | satellite | coarse | 21 | 1,428 | 252 | 420 | | |
| Test sets are standardized to at most 1,000 images by uniform sampling, preserving all classes. All images are resized to 224×224×3 and stored as lossless PNG. | |
| ## Splits | |
| Each config (dataset) contains the following splits. | |
| | Split | Content | | |
| |---|---| | |
| | `train`, `validation` | Clean images, for fine-tuning. | | |
| | `test` | Clean test images, the reference for all perturbed splits. | | |
| | `common` | Each test image with one of 11 common corruptions at severity 3 (column `corruption`). | | |
| | `random_linf_30` | Uniform random noise with $\lVert\delta\rVert_\infty \le 30/255$. | | |
| | `<surrogate>_<norm>_<eps>` | Transfer adversarial images, e.g. `clip_vitb16_linf_30`, `metaclip_vith14_l1_300`. | | |
| ### Common corruptions | |
| Shot noise, impulse noise, defocus blur, motion blur, zoom blur, snow, brightness, contrast, elastic transform, pixelate, JPEG compression, all at severity 3 of the ImageNet-C scale. Test image *i* receives corruption *i* mod 11; the assignment is deterministic, so every model is evaluated on identical (image, corruption) pairs. | |
| ### Adversarial perturbations | |
| Perturbations are crafted with the standard AutoAttack ensemble (APGD-CE, APGD-T, FAB-T, Square) against zero-shot surrogate classifiers. Each surrogate predicts the class whose text embedding (`"a photo of a {class}"`) is closest to the image embedding. AutoAttack only perturbs images the surrogate classifies correctly; other images are copied unchanged (`is_modified = false`). | |
| | Norm | Budgets $\epsilon$ | Split suffix | | |
| |---|---|---| | |
| | $\ell_1$ | 75, 300 | `l1_75`, `l1_300` | | |
| | $\ell_2$ | 2, 8 | `l2_2`, `l2_8` | | |
| | $\ell_\infty$ | 4/255, 8/255, 30/255 | `linf_4`, `linf_8`, `linf_30` | | |
| Budgets are expressed on pixel values in $[0, 1]$; the `epsilon` column stores the exact value (e.g. 0.1176 for 30/255). | |
| | Surrogate prefix | Model | Checkpoint | | |
| |---|---|---| | |
| | `clip_vitb16` | CLIP ViT-B/16 | open_clip `ViT-B-16` / `laion2b_s34b_b88k` | | |
| | `clip_vith14` | CLIP ViT-H/14 | open_clip `ViT-H-14` / `laion2b_s32b_b79k` | | |
| | `metaclip_vith14` | MetaCLIP ViT-H/14 | open_clip `ViT-H-14-quickgelu` / `metaclip_fullcc` | | |
| | `siglip2_so400m` | SigLIP2 SO400M | `google/siglip2-so400m-patch14-384` | | |
| | `siglip2_base` | SigLIP2 base | `google/siglip2-base-patch16-224` | | |
| ### Coverage | |
| SigLIP-family surrogates classify the fine-grained datasets poorly, and a surrogate that misclassifies the clean image provides no attack signal. SigLIP2 SO400M is therefore provided on the three coarse-grained datasets only. SigLIP2 base is provided at $\ell_\infty$ 30/255 only; on the fine-grained datasets it leaves most images unmodified (see `is_modified`). | |
| | Split | Caltech-101 | FGVC-Aircraft (2013b) | Oxford Flowers-102 | Oxford-IIIT Pet | Stanford Cars | UC Merced Land Use | | |
| |---|---|---|---|---|---|---| | |
| | `clip_vitb16_l1_75` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vitb16_l1_300` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vitb16_l2_2` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vitb16_l2_8` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vitb16_linf_4` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vitb16_linf_8` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vitb16_linf_30` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vith14_l1_75` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vith14_l1_300` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vith14_l2_2` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vith14_l2_8` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vith14_linf_4` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vith14_linf_8` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `clip_vith14_linf_30` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `metaclip_vith14_l1_75` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `metaclip_vith14_l1_300` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `metaclip_vith14_l2_2` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `metaclip_vith14_l2_8` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `metaclip_vith14_linf_4` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `metaclip_vith14_linf_8` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `metaclip_vith14_linf_30` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| | `siglip2_so400m_l1_75` | ✓ | – | ✓ | – | – | ✓ | | |
| | `siglip2_so400m_l1_300` | ✓ | – | ✓ | – | – | ✓ | | |
| | `siglip2_so400m_l2_2` | ✓ | – | ✓ | – | – | ✓ | | |
| | `siglip2_so400m_l2_8` | ✓ | – | ✓ | – | – | ✓ | | |
| | `siglip2_so400m_linf_4` | ✓ | – | ✓ | – | – | ✓ | | |
| | `siglip2_so400m_linf_8` | ✓ | – | ✓ | – | – | ✓ | | |
| | `siglip2_so400m_linf_30` | ✓ | – | ✓ | – | – | ✓ | | |
| | `siglip2_base_linf_30` | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | | |
| ## Data fields | |
| | Field | Type | Description | | |
| |---|---|---| | |
| | `image` | image | 224×224 RGB PNG. | | |
| | `label` | class label | Ground-truth class (use `features["label"].names` for names). | | |
| | `image_id` | int32 | Index of the source image within its split; aligns perturbed splits with `test`. | | |
| | `perturbation` | string | `clean`, `common_corruption_severity3`, `random_uniform`, or `transfer_autoattack`. | | |
| | `surrogate` | string | Surrogate used to craft the attack (null otherwise). | | |
| | `norm` | string | `l1`, `l2`, or `linf` (null for clean and common). | | |
| | `epsilon` | float32 | Perturbation budget (null for clean and common). | | |
| | `corruption` | string | Common corruption applied (`common` split only). | | |
| | `is_modified` | bool | Whether the image differs from its clean counterpart. | | |
| ## Evaluation protocol | |
| RobustGenBench reports accuracy per (dataset, perturbation setting), aggregated with: | |
| - **Sum score**: sum of accuracies over all (dataset, setting) pairs. Pool-independent; use it to compare new models with published results. | |
| - **Borda score**: rank-based consistency across pairs, only meaningful within a fixed pool of models. | |
| The paper uses two sets of settings: | |
| - **Fine-tuned vision models (5 settings):** `test`, `common`, and white-box AutoAttack on the evaluated model at $\ell_1 = 75$, $\ell_2 = 2$, $\ell_\infty = 4/255$, crafted from the clean `test` split. Maximum sum score: 30. | |
| - **Black-box models, e.g. vision-enabled LLMs (9 settings):** `test`, `common`, and the 7 transfer budgets, taking the strongest surrogate per dataset and setting. | |
| ## Intended use and limitations | |
| **Intended use:** held-out evaluation of the robustness of image classifiers, fine-tuned or zero-shot, including API-only models. Do not train on the test or perturbed splits. | |
| **Limitations** | |
| - Transfer attacks give an upper bound on robust accuracy. They are not a substitute for white-box or adaptive attacks when model access is available. | |
| - All surrogates are attention-based, so transfer to convolutional targets is weaker. | |
| - Budgets are not matched across norms; compare norms only at the intensities provided. | |
| - Common corruptions are evaluated at a single severity. | |
| - Coverage is limited to six source taxonomies; results do not imply robustness on open-world imagery. | |
| **Biases.** The source datasets inherit the biases of their collection, for example Western car models (Stanford Cars) and breeds common in the UK (Oxford-IIIT Pet). Some images may incidentally show people or license plates; no additional anonymization was performed. | |
| ## License | |
| The perturbed images, splits, and metadata produced for RobustGenBench are released under **[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)**. This license does not override the terms of the source datasets: every image is a derivative of an upstream image whose rights remain with its owners. Users must comply with both licenses; where they differ, the more restrictive applies. | |
| | Source | Homepage | Upstream terms | | |
| |---|---|---| | |
| | Caltech-101 | [https://data.caltech.edu/records/mzrjq-6wc02](https://data.caltech.edu/records/mzrjq-6wc02) | CC BY 4.0 | | |
| | FGVC-Aircraft (2013b) | [https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/) | non-commercial research use only | | |
| | Oxford Flowers-102 | [https://www.robots.ox.ac.uk/~vgg/data/flowers/102/](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/) | see upstream terms | | |
| | Oxford-IIIT Pet | [https://www.robots.ox.ac.uk/~vgg/data/pets/](https://www.robots.ox.ac.uk/~vgg/data/pets/) | CC BY-SA 4.0 | | |
| | Stanford Cars | [https://ai.stanford.edu/~jkrause/cars/car_dataset.html](https://ai.stanford.edu/~jkrause/cars/car_dataset.html) | see upstream terms (research use) | | |
| | UC Merced Land Use | [http://weegee.vision.ucmerced.edu/datasets/landuse.html](http://weegee.vision.ucmerced.edu/datasets/landuse.html) | USGS public-domain imagery | | |
| ## Citation | |
| ```bibtex | |
| @inproceedings{heuillet2026robustgenbench, | |
| title = {RobustGenBench: A Benchmark for Robust Generalization to Adversarial and Common Perturbations, with Applications to Vision and Vision-Enabled Large Language Models}, | |
| author = {Heuillet, Maxime and Ngnaw{\'e}, Jonas and Pequignot, Yann and Bhagwatkar, Rishika and Larouche, Alexandre and Gagn{\'e}, Christian and Rish, Irina and Ahmad, Ola and Durand, Audrey}, | |
| booktitle = {TODO}, | |
| year = {2026} | |
| } | |
| ``` | |
| Please also cite the six source datasets. | |
| ## Versions | |
| - **v2.0** (current): Parquet layout with Dataset Viewer support; restricted to the surrogates reported in the paper. | |
| - **v1.0**: original `.tar.zst` archives, kept for reproducibility under the git tag [`v1.0-archives`](https://huggingface.co/datasets/legolasflagstaff/RobustGenBench/tree/v1.0-archives). | |