hello
hello
Labels

📌S Retain class distribution for seed 9:
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 9:
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: 0.8244, val_loss: 0.7307, val_acc: 75.9863
Epoch [1], last_lr: 0.00010, train_loss: 0.6501, val_loss: 0.7431, val_acc: 76.3672
Epoch [2], last_lr: 0.00010, train_loss: 0.4855, val_loss: 0.8585, val_acc: 74.0723
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: 74.072265625
Retain Accuracy: 96.35289764404297
Zero-Retain Forget (ZRF): 0.9444196224212646
Membership Inference Attack (MIA): 0.1924
Forget vs Retain Membership Inference Attack (MIA): 0.8305
Forget vs Test Membership Inference Attack (MIA): 0.6485
Test vs Retain Membership Inference Attack (MIA): 0.6755
Train vs Test Membership Inference Attack (MIA): 0.59825
Forget Set Accuracy (Df): 41.01677322387695
Method Execution Time: 930.70 seconds
