# Image Classification on CIFAR-10 (val) (Metrics: Acc, ASR, FGA) Source: [Image Classification on CIFAR-10 (val) (Metrics: Acc, ASR, FGA)]() Collection index: [llms.txt]() Data updated: 2026-03-11T06:13:55.023Z Evaluation of Image Classification performance on the validation split of the CIFAR-10 dataset, reporting standard Accuracy (Acc) alongside ASR and FGA metrics. 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 (val) | | Metric | 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 - [Accuracy](): Higher is better; unit: PERCENT. - [ASR](): Higher is better; unit: PERCENT. - [FGA](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | FGA | 87.8 | Not recorded | 69b0f7122d603e6de3e45da5 | | FGA | 87.8 | Not recorded | 69b0f7122d603e6de3e45da5 | | FGA | 87.8 | Not recorded | 69b0f7122d603e6de3e45da5 | | FGA | 87.8 | Not recorded | 69b0f7122d603e6de3e45da5 | | FGA | 78.9 | Not recorded | 69b0f7122d603e6de3e45da5 | | FGA | 78.9 | Not recorded | 69b0f7122d603e6de3e45da5 | | FGA | 78.9 | Not recorded | 69b0f7122d603e6de3e45da5 | | FGA | 78.9 | Not recorded | 69b0f7122d603e6de3e45da5 | ### FGA Accuracy: 87.8. Result ID: 69b1080b6dbb7075b95aa4ac. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG-19","Attack Type":"BadNets","Poison Rate":"10%"}. This record does not assert independent reproduction. ### FGA Accuracy: 87.8. Result ID: 69b1080b6dbb7075b95aa4ad. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG-19","Attack Type":"Blend","Poison Rate":"10%"}. This record does not assert independent reproduction. ### FGA Accuracy: 87.8. Result ID: 69b1080b6dbb7075b95aa4ae. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG-19","Attack Type":"WaNet","Poison Rate":"10%"}. This record does not assert independent reproduction. ### FGA Accuracy: 87.8. Result ID: 69b1080b6dbb7075b95aa4af. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"VGG-19","Attack Type":"Input-Aware","Poison Rate":"10%"}. This record does not assert independent reproduction. ### FGA Accuracy: 78.9. Result ID: 69b1080b6dbb7075b95aa4a8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet-18","Attack Type":"BadNets","Poison Rate":"10%"}. This record does not assert independent reproduction. ### FGA Accuracy: 78.9. Result ID: 69b1080b6dbb7075b95aa4a9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet-18","Attack Type":"Blend","Poison Rate":"10%"}. This record does not assert independent reproduction. ### FGA Accuracy: 78.9. Result ID: 69b1080b6dbb7075b95aa4aa. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet-18","Attack Type":"WaNet","Poison Rate":"10%"}. This record does not assert independent reproduction. ### FGA Accuracy: 78.9. Result ID: 69b1080b6dbb7075b95aa4ab. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet-18","Attack Type":"Input-Aware","Poison Rate":"10%"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.