Certified Image Classification on Tiny ImageNet epsilon=1/255 (test)
42.1Clean AccuracySABR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SABRSource=Mao et al. (2025), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 42.1 | 27.42 | |
| SABRSource=Müller et al. (2023), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 40.61 | 28.86 | |
| MTL-IBPSource=De Palma et al. (2024b), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 39.8 | 30.45 | |
| MTL-IBPSource=Mao et al. (2025), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 39.75 | 30.67 | |
| MTL-IBPSource=De Palma et al. (2024b), Optimisation=Literature, epsilon=1/2552026.06 | 37.56 | 26.09 | |
| MTL-IBPSource=Mao et al. (2025), Optimisation=Literature, epsilon=1/2552026.06 | 35.97 | 27.73 | |
| IBPSource=Shi et al. (2021), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 34.24 | 20.79 | |
| CROWN-IBPSource=Xu et al. (2021), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 32.38 | 20.71 | |
| IBPSource=Mao et al. (2025), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 32.12 | 21.6 | |
| CROWN-IBPSource=Mao et al. (2025), Optimisation=Ours (Novel Optimisation Procedure), epsilon=1/2552026.06 | 30.82 | 22.2 | |
| SABRSource=Mao et al. (2025), Optimisation=Literature, epsilon=1/2552026.06 | 30.58 | 20.96 | |
| SABRSource=Müller et al. (2023), Optimisation=Literature, epsilon=1/2552026.06 | 28.85 | 20.46 | |
| CROWN-IBPSource=Mao et al. (2025), Optimisation=Literature, epsilon=1/2552026.06 | 28.44 | 22.14 | |
| IBPSource=Mao et al. (2025), Optimisation=Literature, epsilon=1/2552026.06 | 26.77 | 19.82 | |
| IBPSource=Shi et al. (2021), Optimisation=Literature, epsilon=1/2552026.06 | 25.92 | 17.87 | |
| CROWN-IBPSource=Xu et al. (2021), Optimisation=Literature, epsilon=1/2552026.06 | 25.62 | 17.93 |