CIFAR-10/100-C/C-Bar Corruption Benchmarks

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Weebum Yoo
DOI: 10.5281/zenodo.18848231
Cited by: 0

Abstract

CIFAR-10/100-C datasets from the paper "Benchmarking Neural Network Robustness to Common Corruptions and Perturbations" by Hendrycks and Dietterich (ICLR 2019) and CIFAR-10/100-C-bar datasets from the paper "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness" by Mintun, Kirillov, and Xie (NeurIPS 2021)

Fields of Study & Subjects

Adversarial Robustness in Machine Learning Machine Learning and Data Classification Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 March 2026
Language
EN
Document type
Dataset