hello
hello
Labels

📌S Retain class distribution for seed 7:
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 7:
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: 0.8293, val_loss: 0.6944, val_acc: 78.5547
Epoch [1], last_lr: 0.00010, train_loss: 0.6513, val_loss: 0.7847, val_acc: 75.6934
Epoch [2], last_lr: 0.00010, train_loss: 0.4827, val_loss: 0.9237, val_acc: 73.6133
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: 73.61328125
Retain Accuracy: 95.73783874511719
Zero-Retain Forget (ZRF): 0.9347063302993774
Membership Inference Attack (MIA): 0.2836
Forget vs Retain Membership Inference Attack (MIA): 0.6605
Forget vs Test Membership Inference Attack (MIA): 0.642
Test vs Retain Membership Inference Attack (MIA): 0.50375
Train vs Test Membership Inference Attack (MIA): 0.58875
Forget Set Accuracy (Df): 39.234832763671875
Method Execution Time: 937.04 seconds
