List your company

Instance Unlearning on Tiny-ImageNet

100Unlearning Accuracy (UA)retrain
58.576869.330980.08590.8391Apr 21, 2025

Evaluation results

MethodLinks
retrainAttack Bound=16/2552025.04100—98.11
l1-sparseAttack Bound=16/255, epoch=10, lr=0.001, alpha=0.00012025.04100—76.14
FTAttack Bound=8/255, epoch=10, lr=0.00232025.0499.99—99.69
RLAttack Bound=8/255, epoch=10, lr=0.00252025.0499.99—99.62
l1-sparseAttack Bound=8/255, epoch=10, lr=0.001, alpha=0.00012025.0499.99—75.97
SalUnAttack Bound=8/255, epoch=10, lr=0.00152025.0499.99—96.54
SalUnAttack Bound=16/255, epoch=10, lr=0.00152025.0499.99—96.81
OriginalAttack Bound=No Atk2025.0499.9864.1799.78
RLAttack Bound=16/255, epoch=10, lr=0.00252025.0499.98—99.68
IUAttack Bound=16/255, alpha=102025.0499.98—99.69
retrainAttack Bound=8/2552025.0499.97—97.35
FTAttack Bound=16/255, epoch=10, lr=0.00232025.0499.97—99.69
IUAttack Bound=8/255, alpha=102025.0499.97—99.67
IUAttack Bound=No Atk, alpha=102025.0494.8556.3395.91
FTAttack Bound=No Atk, epoch=10, lr=0.00232025.0485.4255.6689.08
RLAttack Bound=No Atk, epoch=10, lr=0.00252025.0472.8855.3680.02
SalUnAttack Bound=No Atk, epoch=10, lr=0.00152025.0466.9954.9462.37
l1-sparseAttack Bound=No Atk, epoch=10, lr=0.001, alpha=0.00012025.0461.7156.0438.36
retrainAttack Bound=No Atk2025.0460.1761.8163.87