Machine Unlearning on Tiny-ImageNet (train)
99.9Forgetting Accuracy (Train)pretrained
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| pretrainedRound=1, Backbone=Swin-T, D_rm=yes, D_fg=N/A, D_fgp=N/A2026.01 | 99.9 | 99.63 | — | — | — | — | |
| pretrainedD_rm=true, D_fg=true, Backbone=Swin-T, RTE=882.05, # param. (%)=27,673,154 (100%)2026.01 | 99.63 | 99.64 | — | — | — | — | |
| pretrainedRound=2, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 99.6 | 99.63 | 99.9 | — | — | — | |
| pretrainedRound=3, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 99.6 | 99.62 | 99.75 | — | — | — | |
| pretrainedRound=4, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 99.3 | 99.63 | 99.8 | — | — | — | |
| FTD_rm=true, D_fg=false, Backbone=Swin-T, RTE=47.42, # param. (%)=27,673,154 (100%)2026.01 | 69.98 | 100 | — | — | — | — | |
| Retrain2026.03 | 62.82 | — | — | 99.46 | 97.99 | — | |
| COUN+RLD_rm=false, D_fg=true, Backbone=Swin-T, RTE=337.69, # param. (%)=27,673,154 (100%)2026.01 | 27.33 | 35.77 | — | — | — | — | |
| BTRound=1, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=N/A2026.01 | 21.6 | 98.57 | — | — | — | — | |
| RLD_rm=true, D_fg=true, Backbone=Swin-T, RTE=431.45, # param. (%)=27,673,154 (100%)2026.01 | 20.4 | 98.77 | — | — | — | — | |
| BTRound=2, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=yes2026.01 | 20.3 | 91.42 | 6.6 | — | — | — | |
| RLRound=4, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 17.6 | 99.98 | 1.07 | — | — | — | |
| SalUnD_rm=false, D_fg=true, Backbone=Swin-T, RTE=235.23, # param. (%)=13,836,577 (50%)2026.01 | 17.57 | 27.39 | — | — | — | — | |
| RLD_rm=false, D_fg=true, Backbone=Swin-T, RTE=195.26, # param. (%)=27,673,154 (100%)2026.01 | 16.33 | 26.98 | — | — | — | — | |
| L2ULD_rm=false, D_fg=true, Backbone=Swin-T, RTE=7361.76, # param. (%)=27,673,154 (100%)2026.01 | 15 | 23.9 | — | — | — | — | |
| BTD_rm=false, D_fg=true, Backbone=Swin-T, RTE=88.81, # param. (%)=27,673,154 (100%)2026.01 | 14.66 | 24.77 | — | — | — | — | |
| SalUnD_rm=true, D_fg=true, Backbone=Swin-T, RTE=476.78, # param. (%)=13,836,577 (50%)2026.01 | 13.88 | 98.72 | — | — | — | — | |
| DELETERound=2, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 10.6 | 98.33 | 3.9 | — | — | — | |
| GAD_rm=false, D_fg=true, Backbone=Swin-T, RTE=178.07, # param. (%)=27,673,154 (100%)2026.01 | 9.61 | 14.26 | — | — | — | — | |
| RLRound=1, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=N/A2026.01 | 8.5 | 97 | — | — | — | — | |
| DELETERound=1, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=N/A2026.01 | 8 | 99.21 | — | — | — | — | |
| RLRound=3, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 7.7 | 99.98 | 0.3 | — | — | — | |
| LOFTRound=2, Backbone=Swin-T, D_rm=Sigma_rm^pre, D_fg=Sigma_fg^pre, D_fgp=Sigma_fgp^pre2026.01 | 7.5 | 95.77 | 0.5 | — | — | — | |
| DELETED_rm=false, D_fg=true, Backbone=Swin-T, RTE=446.62, # param. (%)=27,673,154 (100%)2026.01 | 6.95 | 97.37 | — | — | — | — | |
| BTRound=3, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=yes2026.01 | 6.4 | 72.06 | 4.45 | — | — | — | |
| RLRound=2, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=yes2026.01 | 6.3 | 80.3 | 1 | — | — | — | |
| RLRound=2, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 6.3 | 99.98 | 1 | — | — | — | |
| LOFTRound=4, Backbone=Swin-T, D_rm=Sigma_rm^pre, D_fg=Sigma_fg^pre, D_fgp=Sigma_fgp^pre2026.01 | 5.5 | 96.48 | 0.07 | — | — | — | |
| DELETERound=3, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 5.1 | 96.27 | 3.85 | — | — | — | |
| RLRound=1, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=N/A2026.01 | 4.9 | 99.93 | — | — | — | — | |
| LOFTRound=1, Backbone=Swin-T, D_rm=Sigma_rm^pre, D_fg=Sigma_fg^pre, D_fgp=N/A2026.01 | 4.2 | 96.86 | — | — | — | — | |
| DELETERound=4, Backbone=Swin-T, D_rm=yes, D_fg=yes, D_fgp=yes2026.01 | 3.8 | 93.07 | 2.43 | — | — | — | |
| BTRound=4, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=yes2026.01 | 3 | 47.28 | 1.63 | — | — | — | |
| LOFTRound=3, Backbone=Swin-T, D_rm=Sigma_rm^pre, D_fg=Sigma_fg^pre, D_fgp=Sigma_fgp^pre2026.01 | 1.7 | 96.39 | 0.35 | — | — | — | |
| RLRound=3, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=yes2026.01 | 0.7 | 45.16 | 0.3 | — | — | — | |
| RLRound=4, Backbone=Swin-T, D_rm=no, D_fg=yes, D_fgp=yes2026.01 | 0.3 | 10.96 | 0 | — | — | — | |
| LOFTD_rm=only Σ_rm^pre, D_fg=only Σ_fg^pre, Backbone=Swin-T, RTE=0.29, # param. (%)=13,824 (0.05%)2026.01 | 0.03 | 99.63 | — | — | — | — | |
| retrainedD_rm=true, D_fg=false, Backbone=Swin-T, RTE=95.17, # param. (%)=27,673,154 (100%)2026.01 | 0 | 99.97 | — | — | — | — | |
| retrainedRound=1, Backbone=Swin-T, D_rm=yes, D_fg=no, D_fgp=N/A2026.01 | 0 | 99.65 | — | — | — | — | |
| retrainedRound=2, Backbone=Swin-T, D_rm=yes, D_fg=no, D_fgp=no2026.01 | 0 | 99.69 | 0 | — | — | — | |
| retrainedRound=3, Backbone=Swin-T, D_rm=yes, D_fg=no, D_fgp=no2026.01 | 0 | 99.66 | 0 | — | — | — | |
| retrainedRound=4, Backbone=Swin-T, D_rm=yes, D_fg=no, D_fgp=no2026.01 | 0 | 99.67 | 0 | — | — | — | |
| Two-Stage Machine Unlearning2026.03 | 0 | — | — | 98.95 | 98.49 | — | |
| DELETEBackbone=ViT2026.03 | — | — | — | 39.45 | 99.47 | 0 | |
| FTBackbone=ViT2026.03 | — | — | — | 99.69 | 99.57 | 90.72 | |
| GABackbone=ViT2026.03 | — | — | — | 17.38 | 84.25 | 1.18 | |
| GDRBackbone=ViT2026.03 | — | — | — | 90.2 | 93.74 | 21 | |
| ℓ1-sparseBackbone=ViT2026.03 | — | — | — | 99 | 97.73 | 78.79 | |
| MunbaBackbone=ViT2026.03 | — | — | — | 97.86 | 96.44 | 80 | |
| OriginalBackbone=ViT2026.03 | — | — | — | 99.77 | 99.77 | 99.53 | |
| Our methodBackbone=ViT2026.03 | — | — | — | 98.95 | 98.49 | 0 | |
| SalUnBackbone=ViT2026.03 | — | — | — | 58.3 | 78.54 | 4.48 | |
| SCRUBBackbone=ViT2026.03 | — | — | — | 84.15 | 97.54 | 8.1 | |
| SSDBackbone=ViT2026.03 | — | — | — | 82.33 | 97.74 | 45.43 |