# Image Classification on CIFAR-10 clean (test) (Epsilon-Dependent Accuracy) Source: [Image Classification on CIFAR-10 clean (test) (Epsilon-Dependent Accuracy)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:34:34.583Z Evaluation of Image Classification performance on the CIFAR-10 test set, specifically measuring accuracy under varying levels of perturbation defined by epsilon (e.g., ε=0.2, 0.4, 0.6). A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Image Classification | | Dataset (including any stated split) | CIFAR-10 clean (test) | | Metric | Accuracy (ε=0.2) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 11 of 11 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy (ε=0.2)](): Higher is better; unit: PERCENT. - [Accuracy (ε=0.4)](): Higher is better; unit: PERCENT. - [Accuracy (ε=0.6)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy (ε=0.2) | Result date | Report paper | | --- | --- | --- | --- | | CORES2\* | 95.42 | Not recorded | 68fa698f1e209131cea22a5b | | CORES2 | 89.5 | Not recorded | 68fa698f1e209131cea22a5b | | Peer Loss | 89.33 | Not recorded | 68fa698f1e209131cea22a5b | | SCE | 89.11 | Not recorded | 68fa698f1e209131cea22a5b | | Co-teaching+ | 89.04 | Not recorded | 68fa698f1e209131cea22a5b | | LDMI | 88.8 | Not recorded | 68fa698f1e209131cea22a5b | | JoCoR | 88.71 | Not recorded | 68fa698f1e209131cea22a5b | | Co-teaching | 88.66 | Not recorded | 68fa698f1e209131cea22a5b | | Forward T | 88.08 | Not recorded | 68fa698f1e209131cea22a5b | | Cross Entropy | 87.16 | Not recorded | 68fa698f1e209131cea22a5b | | Lq | 86.45 | Not recorded | 68fa698f1e209131cea22a5b | ### CORES2\* Accuracy (ε=0.2): 95.42. Result ID: 698db6708b517eb433234404. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Noise type":"Instance-based","Variant":"Star"}. This record does not assert independent reproduction. ### CORES2 Accuracy (ε=0.2): 89.5. Result ID: 698db6708b517eb433234403. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### Peer Loss Accuracy (ε=0.2): 89.33. Result ID: 698db6708b517eb433234402. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### SCE Accuracy (ε=0.2): 89.11. Result ID: 698db6708b517eb4332343fe. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### Co-teaching+ Accuracy (ε=0.2): 89.04. Result ID: 698db6708b517eb433234400. [Reporting paper]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### LDMI Accuracy (ε=0.2): 88.8. Result ID: 698db6708b517eb4332343fc. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### JoCoR Accuracy (ε=0.2): 88.71. Result ID: 698db6708b517eb433234401. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### Co-teaching Accuracy (ε=0.2): 88.66. Result ID: 698db6708b517eb4332343ff. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### Forward T Accuracy (ε=0.2): 88.08. Result ID: 698db6708b517eb4332343fb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### Cross Entropy Accuracy (ε=0.2): 87.16. Result ID: 698db6708b517eb4332343fa. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. ### Lq Accuracy (ε=0.2): 86.45. Result ID: 698db6708b517eb4332343fd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise type":"Instance-based"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.