hello
hello
Labels

📌S Retain class distribution for seed 3:
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 3:
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: 0.02000, train_loss: 0.2788, val_loss: 0.8608, val_acc: 74.5410
Epoch [1], last_lr: 0.02000, train_loss: 0.2335, val_loss: 0.8009, val_acc: 77.4121
Epoch [2], last_lr: 0.02000, train_loss: 0.1398, val_loss: 0.9312, val_acc: 76.7188
Epoch [3], last_lr: 0.02000, train_loss: 0.1002, val_loss: 0.9351, val_acc: 77.2168
Epoch [4], last_lr: 0.02000, train_loss: 0.0650, val_loss: 0.8965, val_acc: 79.3555
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: 79.35546875
Retain Accuracy: 96.97718048095703
Zero-Retain Forget (ZRF): 0.7286749482154846
Membership Inference Attack (MIA): 0.682
Forget vs Retain Membership Inference Attack (MIA): 0.618
Forget vs Test Membership Inference Attack (MIA): 0.487
Test vs Retain Membership Inference Attack (MIA): 0.60425
Train vs Test Membership Inference Attack (MIA): 0.58075
Forget Set Accuracy (Df): 85.58479309082031
Method Execution Time: 966.60 seconds
