hello
hello
Labels

📌S Retain class distribution for seed 2:
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 2:
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
78090990
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.8139, val_loss: 0.7837, val_acc: 72.0410
Epoch [1], last_lr: 0.02000, train_loss: 0.6031, val_loss: 0.7090, val_acc: 75.7520
Epoch [2], last_lr: 0.02000, train_loss: 0.4656, val_loss: 0.6839, val_acc: 76.6504
Epoch [3], last_lr: 0.02000, train_loss: 0.3417, val_loss: 0.8076, val_acc: 74.7461
Epoch [4], last_lr: 0.02000, train_loss: 0.2513, val_loss: 0.7377, val_acc: 76.9922
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: 76.9921875
Retain Accuracy: 91.9841079711914
Zero-Retain Forget (ZRF): 0.8072710037231445
Membership Inference Attack (MIA): 0.6078
Forget vs Retain Membership Inference Attack (MIA): 0.4905
Forget vs Test Membership Inference Attack (MIA): 0.492
Test vs Retain Membership Inference Attack (MIA): 0.5435
Train vs Test Membership Inference Attack (MIA): 0.55525
Forget Set Accuracy (Df): 78.35133361816406
Method Execution Time: 999.37 seconds
