hello
hello
Labels

📌S Retain class distribution for seed 6:
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 6:
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: 0.00010, train_loss: 0.8241, val_loss: 0.7094, val_acc: 77.2852
Epoch [1], last_lr: 0.00010, train_loss: 0.6469, val_loss: 0.7835, val_acc: 76.0547
Epoch [2], last_lr: 0.00010, train_loss: 0.4802, val_loss: 0.9463, val_acc: 72.6855
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: 72.685546875
Retain Accuracy: 94.5266342163086
Zero-Retain Forget (ZRF): 0.9422311782836914
Membership Inference Attack (MIA): 0.2622
Forget vs Retain Membership Inference Attack (MIA): 0.7015
Forget vs Test Membership Inference Attack (MIA): 0.6405
Test vs Retain Membership Inference Attack (MIA): 0.55875
Train vs Test Membership Inference Attack (MIA): 0.5875
Forget Set Accuracy (Df): 36.603858947753906
Method Execution Time: 948.36 seconds
