# Image Classification on CALISA (val) Source: [Image Classification on CALISA (val)]() Collection index: [llms.txt]() Data updated: 2026-06-26T07:36:02.943Z Evaluation of Image Classification performance on the validation split of the CALISA dataset, 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) | CALISA (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](): Higher is better; unit: PERCENT. ## Recorded results | Method | Clean Accuracy | Result date | Report paper | | --- | --- | --- | --- | | one-to-one | 97.66 | Not recorded | 6a3e0765206542251d7cb32d | | all-to-one | 97.63 | Not recorded | 6a3e0765206542251d7cb32d | | clean data | 97.61 | Not recorded | 6a3e0765206542251d7cb32d | | same-class | 97.58 | Not recorded | 6a3e0765206542251d7cb32d | | one-to-one | 97.17 | Not recorded | 6a3e0765206542251d7cb32d | | clean data | 96.75 | Not recorded | 6a3e0765206542251d7cb32d | | same-class | 96.42 | Not recorded | 6a3e0765206542251d7cb32d | | all-to-one | 96.29 | Not recorded | 6a3e0765206542251d7cb32d | ### one-to-one Clean Accuracy: 97.66. Result ID: 6a3e2bc9fbc373592c5f4ea5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### all-to-one Clean Accuracy: 97.63. Result ID: 6a3e2bc9fbc373592c5f4ea7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### clean data Clean Accuracy: 97.61. Result ID: 6a3e2bc9fbc373592c5f4ea4. [Reporting paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### same-class Clean Accuracy: 97.58. Result ID: 6a3e2bc9fbc373592c5f4ea6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDIM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### one-to-one Clean Accuracy: 97.17. Result ID: 6a3e2bc9fbc373592c5f4ea1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### clean data Clean Accuracy: 96.75. Result ID: 6a3e2bc9fbc373592c5f4ea0. [Reporting paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### same-class Clean Accuracy: 96.42. Result ID: 6a3e2bc9fbc373592c5f4ea2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. ### all-to-one Clean Accuracy: 96.29. Result ID: 6a3e2bc9fbc373592c5f4ea3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Sampler":"DDPM","Backbone":"ResNet"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.