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Corruption and Perturbation Robustness (ICLR 2019)

by hendrycks · GitHub
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computer-visionconvolutional-neural-networksdeep-learningApache-2.0Python
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Access datasets and tools to test how well neural networks handle common image issues.

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2026-07-202026-08-31
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Corruption and Perturbation Robustness (ICLR 2019)

robustness has 1.2k stars on GitHub. It has been forked 150 times. robustness is written mainly in Python. It has been in active development since 2018. robustness is available under the Apache-2.0 license. Its main topics are computer-vision, convolutional-neural-networks, deep-learning, domain-generalization.

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Corruption and Perturbation Robustness (ICLR 2019)

Is robustness open source?

robustness is an open-source project. It is released under the Apache-2.0 license.

Is robustness free?

Yes. robustness is free and open source — you can use, modify and self-host it.

What license does robustness use?

robustness is available under the Apache-2.0 license.

What language is robustness written in?

robustness is written mainly in Python.

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