Image Classification on CIFAR-10 (test) (Clean and AA Metrics)
92.56Clean AccuracyLee et al. (2020)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Lee et al. (2020)Model=WRN-34-102026.03 | 92.56 | 39.7 | |
| Pang et al. (2022) + S2OModel=WRN-28-10, DDPM Data=1M2026.03 | 88.93 | 61.45 | |
| Pang et al. (2022)Model=WRN-28-10, DDPM Data=1M2026.03 | 88.61 | 61.04 | |
| Pang et al. (2021)Model=WRN-34-202026.03 | 86.43 | 54.39 | |
| Jin et al. (2023)Model=WRN-34-202026.03 | 85.98 | 54.2 | |
| Rebuffi et al. (2021)Model=WRN-28-10, DDPM Data=1M2026.03 | 85.97 | 60.73 | |
| Rice et al. (2020)Model=WRN-34-202026.03 | 85.34 | 53.42 | |
| Gowal et al. (2020)Model=WRN-70-162026.03 | 85.29 | 57.2 | |
| Wu et al. (2020)Model=WRN-34-102026.03 | 85.17 | 56.21 | |
| Zhang et al. (2019)Model=WRN-34-102026.03 | 84.65 | 53.04 | |
| Zhang et al. (2020)Model=WRN-34-102026.03 | 84.52 | 53.51 | |
| Wang et al. (2020)Model=WRN-34-102026.03 | 83.51 | 51.1 |