# Image Classification on CIFAR10 (val) (Clean Accuracy and ASR) Source: [Image Classification on CIFAR10 (val) (Clean Accuracy and ASR)]() Collection index: [llms.txt]() Data updated: 2026-06-26T07:36:02.844Z Evaluation of Image Classification performance on the CIFAR-10 validation set, reporting Clean Accuracy and Attack Success Rate (ASR). 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) | CIFAR10 (val) | | Metric | Clean Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | 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 - [Clean Accuracy](): Higher is better; unit: PERCENT. - [ASR](): Lower is better; unit: PERCENT. ## Recorded results | Method | Clean Accuracy | Result date | Report paper | | --- | --- | --- | --- | | clean data | 85.95 | Not recorded | 6a3e0765206542251d7cb32d | | same-class | 78.96 | Not recorded | 6a3e0765206542251d7cb32d | | same-class | 78.18 | Not recorded | 6a3e0765206542251d7cb32d | | clean data | 77.29 | Not recorded | 6a3e0765206542251d7cb32d | | one-to-one | 76.08 | Not recorded | 6a3e0765206542251d7cb32d | | all-to-one | 75.73 | Not recorded | 6a3e0765206542251d7cb32d | | one-to-one | 75.52 | Not recorded | 6a3e0765206542251d7cb32d | | all-to-one | 74.38 | Not recorded | 6a3e0765206542251d7cb32d | ### clean data Clean Accuracy: 85.95. Result ID: 6a3e2bc9fbc373592c5f4e84. [Reporting paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### same-class Clean Accuracy: 78.96. Result ID: 6a3e2bc9fbc373592c5f4e82. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### same-class Clean Accuracy: 78.18. Result ID: 6a3e2bc9fbc373592c5f4e86. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### clean data Clean Accuracy: 77.29. Result ID: 6a3e2bc9fbc373592c5f4e80. [Reporting paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### one-to-one Clean Accuracy: 76.08. Result ID: 6a3e2bc9fbc373592c5f4e85. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### all-to-one Clean Accuracy: 75.73. Result ID: 6a3e2bc9fbc373592c5f4e83. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### one-to-one Clean Accuracy: 75.52. Result ID: 6a3e2bc9fbc373592c5f4e81. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### all-to-one Clean Accuracy: 74.38. Result ID: 6a3e2bc9fbc373592c5f4e87. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.