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: 0.02000, train_loss: 0.2874, val_loss: 0.9272, val_acc: 73.0078
Epoch [1], last_lr: 0.02000, train_loss: 0.2401, val_loss: 1.0134, val_acc: 72.2559
Epoch [2], last_lr: 0.02000, train_loss: 0.1375, val_loss: 0.7849, val_acc: 78.8672
Epoch [3], last_lr: 0.02000, train_loss: 0.0978, val_loss: 0.8442, val_acc: 78.1250
Epoch [4], last_lr: 0.02000, train_loss: 0.0657, val_loss: 0.8753, val_acc: 78.6914
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: 78.69140625
Retain Accuracy: 96.76669311523438
Zero-Retain Forget (ZRF): 0.7530487179756165
Membership Inference Attack (MIA): 0.6834
Forget vs Retain Membership Inference Attack (MIA): 0.5845
Forget vs Test Membership Inference Attack (MIA): 0.4995
Test vs Retain Membership Inference Attack (MIA): 0.5765
Train vs Test Membership Inference Attack (MIA): 0.57775
Forget Set Accuracy (Df): 85.25965118408203
Method Execution Time: 967.36 seconds
