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robustbench

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RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

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RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

GitHub Issues· 11 open

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  • #213

    [New Model] <Ma2025Adversarial>

    new-modelUpdated Nov 4, 2025
  • #212

    Quick Tour Error

    Updated Oct 6, 2025
  • #211

    Importing benchmark doesn't work

    Updated Apr 22, 2025
  • #208

    Enhancement evaluating sustainability and runtime

    Updated Mar 13, 2025
  • #201

    Cannot install the git

    Updated Jan 7, 2025
  • #194

    KeyError: 'AlexNet' - CIFAR (Corruptions)

    Updated Sep 9, 2024
  • #167

    Add new CIFAR100 standard model

    Updated Mar 23, 2024
  • #92

    Imagenet-C loader can only return 5k images

    enhancementUpdated Oct 11, 2022

> Tags

Pythonadversarial-machine-learningadversarial-robustnessbenchmarkmodel-zoo

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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