hello
hello
Labels

📌S Retain class distribution for seed 5:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 5:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
780909900
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.2642, val_loss: 0.9211, val_acc: 73.8086
Epoch [1], last_lr: 0.02000, train_loss: 0.2381, val_loss: 1.0363, val_acc: 71.4648
Epoch [2], last_lr: 0.02000, train_loss: 0.1504, val_loss: 1.0035, val_acc: 74.4238
Epoch [3], last_lr: 0.02000, train_loss: 0.0967, val_loss: 0.9834, val_acc: 76.3672
Epoch [4], last_lr: 0.02000, train_loss: 0.0691, val_loss: 0.9416, val_acc: 77.8125
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 77.8125
Retain Accuracy: 96.2229232788086
Zero-Retain Forget (ZRF): 0.7305033206939697
Membership Inference Attack (MIA): 0.6934
Forget vs Retain Membership Inference Attack (MIA): 0.509
Forget vs Test Membership Inference Attack (MIA): 0.5015
Test vs Retain Membership Inference Attack (MIA): 0.54675
Train vs Test Membership Inference Attack (MIA): 0.5755
Forget Set Accuracy (Df): 84.71277618408203
Method Execution Time: 976.79 seconds
