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Machine Unlearning on MUSE Books

-89.6Privacy LeakageUNDIAL
-95.4512-55.9556-16.4623.0356Jan 6, 2026Jan 31, 2026Feb 26, 2026Mar 24, 2026Apr 18, 2026May 14, 2026Jun 9, 2026

Evaluation results

MethodLinks
UNDIALBackbone=Llama-3.2-3B-Instruct, Setting=CLEAN, m=2, kappa=0.012026.02-89.6————1.0924.3——35.9——
UNDIALBackbone=Llama-3.2-3B-Instruct, Setting=MPU, m=2, kappa=0.012026.02-89.6————1.0622.9——31.6——
SIMNPOBackbone=Llama-3.2-3B-Instruct, Setting=CLEAN, m=2, kappa=0.012026.02-84.2————1.4323.7——32——
SIMNPOBackbone=Llama-3.2-3B-Instruct, Setting=MPU, m=2, kappa=0.012026.02-83.6————1.4122.7——31.6——
PDU2026.01-76.18347.095.2911.93————————
NPOBackbone=Llama-3.2-3B-Instruct, Setting=MPU, m=2, kappa=0.012026.02-73.2————1.522.6——33.3——
NPOBackbone=Llama-3.2-3B-Instruct, Setting=CLEAN, m=2, kappa=0.012026.02-71.9————1.5523.4——31.3——
GradDiffBackbone=Llama-2-7B2026.01-60.466———93.62715.48432.80835.57431.34559.87641.148—
GRADDIFFBackbone=Qwen2.5-3B-Instruct, Protocol=CLEAN, m=2, κ=0.012026.02-57.9————1.5919.1——22.9——
UNDIAL+CLBackbone=Llama-2-7B, Contrastive Regularization=CLReg2026.01-57.5629———90.8979.33333.52327.5541.40557.31348.077—
TPO2026.01-57.363960.1636.0742.34————————
Original2026.01-57.34169.1347.1299.7————————
GradDiff+CLBackbone=Llama-2-7B, Contrastive Regularization=CLReg2026.01-57.3225———18.9520.86518.3920.5410058.45173.778—
BaseBase Model=ICLM-7B2026.03-57.369.147.199.7————————
UNDIALBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=MPU, m=2, kappa=0.012026.02-57.2————1.1218.3——19.5——
GRADDIFFBackbone=Qwen2.5-3B-Instruct, Protocol=MPU, m=2, κ=0.012026.02-57.1————1.5521.3——20.1——
UNDIALBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=CLEAN, m=2, kappa=0.012026.02-56.9————1.1216.7——20.4——
GRADASCENTBackbone=Qwen2.5-3B-Instruct, Protocol=CLEAN, m=2, κ=0.012026.02-56.1————1.7221.4——23.8——
GRADASCENTBackbone=Qwen2.5-3B-Instruct, Protocol=MPU, m=2, κ=0.012026.02-55.9————1.7521.8——24.7——
NPO2026.01-55.769264.2444.1460.11————————
PALU2026.01-55.754461.6328.9620.52————————
NPOKLBase Model=ICLM-7B2026.03-54.661.436.754.4————————
SimNPOGDBase Model=ICLM-7B2026.03-54.451.636.725.8————————
UNDIALBackbone=Llama-2-7B2026.01-53.9386———94.7318.2338.05342.41625.30663.05836.117—
NPOGDBase Model=ICLM-7B2026.03-53.861.436.653.2————————
NPOBackbone=Qwen2.5-3B-Instruct, Protocol=CLEAN, m=2, κ=0.012026.02-53.1————1.4520.6——19.4——
SATIMPBackbone=Qwen2.5-3B-Instruct, Protocol=MPU, m=2, κ=0.012026.02-53.1————1.4720.8——21.9——
SIMNPOBackbone=Qwen2.5-3B-Instruct, Protocol=MPU, m=2, κ=0.012026.02-53————1.4618.6——20——
NPOBackbone=Qwen2.5-3B-Instruct, Protocol=MPU, m=2, κ=0.012026.02-52.9————1.4818.6——19.8——
SIMNPOBackbone=Qwen2.5-3B-Instruct, Protocol=CLEAN, m=2, κ=0.012026.02-52.9————1.4718.2——20.5——
SATIMPBackbone=Qwen2.5-3B-Instruct, Protocol=CLEAN, m=2, κ=0.012026.02-52.6————1.4719.3——19.2——
NPO+CLBackbone=Llama-2-7B, Contrastive Regularization=CLReg2026.01-52.5518———91.30211.45221.47526.97841.02153.34546.378—
ASUGDBase Model=ICLM-7B2026.03-52.358.9194.9————————
SimNPO2026.01-51.701859.6930.0923.64————————
NPOBackbone=Llama-2-7B2026.01-51.2574———92.42113.0420.33530.68936.77452.2643.17—
ASUKLBase Model=ICLM-7B2026.03-5162.528.65.3————————
UNDIALBackbone=Qwen2.5-3B-Instruct, Protocol=MPU, m=2, κ=0.012026.02-48.6————1.3613.5——13——
UNDIALBackbone=Qwen2.5-3B-Instruct, Protocol=CLEAN, m=2, κ=0.012026.02-48.2————1.3615.1——12.9——
SimNPOKLBase Model=ICLM-7B2026.03-41.768.146.913.1————————
PDUBackbone=Llama-2-7B2026.01-35.9652———0.9680.79422.4010.008910044.47961.572—
GRADASCENTBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=MPU, m=2, kappa=0.012026.02-34.5————0.9150——0——
PDU+CLBackbone=Llama-2-7B, Contrastive Regularization=CLReg2026.01-34.2641———0.9440.79423.9830.033710047.34564.264—
GRADASCENTBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=CLEAN, m=2, kappa=0.012026.02-32————0.9150——0——
SimNPOBackbone=Llama-2-7B2026.01-30.6583———20.7460.91333.610.31694.20960.87773.961—
SIMNPOBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=CLEAN, m=2, kappa=0.012026.02-30.1————1.2216.1——20.6——
SATIMPBackbone=Llama-3.2-3B-Instruct, Setting=MPU, m=2, kappa=0.012026.02-29.8————0.91523.9——30——
GRADASCENTBackbone=Qwen2.5-1.5B-Instruct, Setting=CLEAN, m=2, κ=0.012026.02-29.7————1.4822——24——
GRADASCENTBackbone=Qwen2.5-1.5B-Instruct, Setting=MPU, m=2, κ=0.012026.02-29.7————1.4922——24.2——
GRADDIFFBackbone=Qwen2.5-1.5B-Instruct, Setting=CLEAN, m=2, κ=0.012026.02-29.3————1.4321.8——28.1——
GRADDIFFBackbone=Qwen2.5-1.5B-Instruct, Setting=MPU, m=2, κ=0.012026.02-28.9————1.421.4——27.7——
SATIMPBackbone=Llama-3.2-3B-Instruct, Setting=CLEAN, m=2, kappa=0.012026.02-28.8————0.91522.1——31.5——
SIMNPOBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=MPU, m=2, kappa=0.012026.02-28.5————1.2515.2——21.8——
UNDIALBackbone=Qwen2.5-1.5B-Instruct, Setting=CLEAN, m=2, κ=0.012026.02-27.8————1.4622.6——27.3——
UNDIALBackbone=Qwen2.5-1.5B-Instruct, Setting=MPU, m=2, κ=0.012026.02-27.8————1.4221.5——28.2——
NPOBackbone=Qwen2.5-1.5B-Instruct, Setting=CLEAN, m=2, κ=0.012026.02-26————1.4722.1——30.6——
SIMNPOBackbone=Qwen2.5-1.5B-Instruct, Setting=MPU, m=2, κ=0.012026.02-26————1.4722.1——29.7——
SIMNPOBackbone=Qwen2.5-1.5B-Instruct, Setting=CLEAN, m=2, κ=0.012026.02-25.9————1.4422.1——29.4——
SATIMPBackbone=Qwen2.5-1.5B-Instruct, Setting=CLEAN, m=2, κ=0.012026.02-25.9————1.4722.7——29.7——
SATIMPBackbone=Qwen2.5-1.5B-Instruct, Setting=MPU, m=2, κ=0.012026.02-25.9————1.4621.8——30.3——
NPOBackbone=Qwen2.5-1.5B-Instruct, Setting=MPU, m=2, κ=0.012026.02-25.8————1.4422.3——30.4——
GAKLBase Model=ICLM-7B2026.03-24.9000————————
NPOBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=MPU, m=2, kappa=0.012026.02-24————1.2718.1——19.1——
GAGDBase Model=ICLM-7B2026.03-23.8000————————
NPOBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=CLEAN, m=2, kappa=0.012026.02-23.7————1.2517.2——18.8——
SimNPO+CLBackbone=Llama-2-7B, Contrastive Regularization=CLReg2026.01-21.1169———1.2060.79427.47010059.91874.936—
SATIMPBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=CLEAN, m=2, kappa=0.012026.02-2.22————0.92415.2——20.2——
SATIMPBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=MPU, m=2, kappa=0.012026.02-1.87————0.92414.7——19.8——
Retrain2026.02074.3828.914.35———————1
RetrainBase Model=ICLM-7B2026.03068.730.314.4————————
Origin2026.06062.4845.8215.92————————
GRADDIFFBackbone=Llama-3.2-3B-Instruct, Setting=CLEAN, m=2, kappa=0.012026.027.42————0.9150——11.5——
Retain2026.018.1668.7430.2914.45————————
ESFT2026.0610.3958.6926.630————————
SEUF2026.0611.1655.5411.440.32————————
KUDAImplementation=Grad-Diff (GD) [74]2026.0216.5561.9726.730.05———————0.8792
SimNPOImplementation=Grad-Diff (GD) [74]2026.0217.1549.553.240———————0.8737
GradDiff2026.0619.4357.1736.486.86————————
RMUImplementation=Grad-Diff (GD) [74]2026.0220.4558.3730.927.04———————0.8248
TRACE2026.0620.7265.9710.730————————
GRADDIFFBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=CLEAN, m=2, kappa=0.012026.0228.9————0.9154.55——14.6——
GRADDIFFBackbone=Llama-3.2-1B-Instruct, Evaluation Protocol=MPU, m=2, kappa=0.012026.0231.7————0.9153.31——14.1——
GRADDIFFBackbone=Llama-3.2-3B-Instruct, Setting=MPU, m=2, kappa=0.012026.0235.4————0.9150——14.6——
NPO2026.0637.8462.6434.055.12————————
GA2026.0638.6413.7610.927.5————————
GAImplementation=Grad-Diff (GD) [74]2026.0240.534.2423.9611———————0.5452
NPOImplementation=Grad-Diff (GD) [74]2026.0241.3544.7527.6820.13———————0.52
WHP2026.0251.5663.4751.4919.04———————0.1849
GRADASCENTBackbone=Llama-3.2-3B-Instruct, Setting=CLEAN, m=2, kappa=0.012026.0252.3————0.9150——0——
GRADASCENTBackbone=Llama-3.2-3B-Instruct, Setting=MPU, m=2, kappa=0.012026.0256.6————0.9150——0——
Origin2026.0256.686758.7699.59———————0
DOORTime per step (second)=3.7512025.09——————————16.9—
GATime per step (second)=4.3482025.09——————————0—
GAGDRTime per step (second)=6.6252025.09——————————14.4—
NPOTime per step (second)=6.4752025.09——————————71.7—
NPOGDRTime per step (second)=7.7332025.09——————————70.8—
PRISMTime per step (second)=11.2232025.09——————————86—
SAM+NPOTime per step (second)=11.0552025.09——————————74.8—
Task VectorTime per step (second)=3.8852025.09——————————0—