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
780909900
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 0.8232, val_loss: 0.7450, val_acc: 75.6641
Epoch [1], last_lr: 0.00010, train_loss: 0.6500, val_loss: 0.7239, val_acc: 77.6562
Epoch [2], last_lr: 0.00010, train_loss: 0.4730, val_loss: 0.9285, val_acc: 72.4023
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: 72.40234375
Retain Accuracy: 96.1328125
Zero-Retain Forget (ZRF): 0.9508394002914429
Membership Inference Attack (MIA): 0.233
Forget vs Retain Membership Inference Attack (MIA): 0.726
Forget vs Test Membership Inference Attack (MIA): 0.6295
Test vs Retain Membership Inference Attack (MIA): 0.6075
Train vs Test Membership Inference Attack (MIA): 0.61125
Forget Set Accuracy (Df): 33.274356842041016
Method Execution Time: 940.06 seconds
