hello
hello
Labels

📌S Retain class distribution for seed 1:
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 1:
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: 0.8120, val_loss: 0.7736, val_acc: 72.1094
Epoch [1], last_lr: 0.02000, train_loss: 0.6062, val_loss: 0.7459, val_acc: 73.8867
Epoch [2], last_lr: 0.02000, train_loss: 0.4699, val_loss: 0.7503, val_acc: 75.4883
Epoch [3], last_lr: 0.02000, train_loss: 0.3420, val_loss: 0.7058, val_acc: 77.0117
Epoch [4], last_lr: 0.02000, train_loss: 0.2520, val_loss: 0.7980, val_acc: 75.3906
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: 75.390625
Retain Accuracy: 89.63955688476562
Zero-Retain Forget (ZRF): 0.8144111633300781
Membership Inference Attack (MIA): 0.572
Forget vs Retain Membership Inference Attack (MIA): 0.4985
Forget vs Test Membership Inference Attack (MIA): 0.4955
Test vs Retain Membership Inference Attack (MIA): 0.58725
Train vs Test Membership Inference Attack (MIA): 0.542
Forget Set Accuracy (Df): 76.81526184082031
Method Execution Time: 977.50 seconds
