hello
hello
Labels

📌S Retain class distribution for seed 8:
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 8:
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: 0.8147, val_loss: 0.8149, val_acc: 71.4355
Epoch [1], last_lr: 0.02000, train_loss: 0.6139, val_loss: 0.9102, val_acc: 70.8984
Epoch [2], last_lr: 0.02000, train_loss: 0.4693, val_loss: 0.7297, val_acc: 76.0645
Epoch [3], last_lr: 0.02000, train_loss: 0.3533, val_loss: 0.7015, val_acc: 76.5820
Epoch [4], last_lr: 0.02000, train_loss: 0.2428, val_loss: 0.9467, val_acc: 73.8672
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: 73.8671875
Retain Accuracy: 87.7009048461914
Zero-Retain Forget (ZRF): 0.7955279350280762
Membership Inference Attack (MIA): 0.5526
Forget vs Retain Membership Inference Attack (MIA): 0.599
Forget vs Test Membership Inference Attack (MIA): 0.5045
Test vs Retain Membership Inference Attack (MIA): 0.63375
Train vs Test Membership Inference Attack (MIA): 0.52975
Forget Set Accuracy (Df): 73.99816131591797
Method Execution Time: 991.32 seconds
