hello
hello
Labels

📌S Retain class distribution for seed 10:
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 10:
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: 0.2670, val_loss: 0.8914, val_acc: 75.1367
Epoch [1], last_lr: 0.02000, train_loss: 0.2420, val_loss: 0.8032, val_acc: 76.9727
Epoch [2], last_lr: 0.02000, train_loss: 0.1391, val_loss: 0.9149, val_acc: 76.3086
Epoch [3], last_lr: 0.02000, train_loss: 0.0852, val_loss: 0.9430, val_acc: 77.3730
Epoch [4], last_lr: 0.02000, train_loss: 0.0777, val_loss: 0.9558, val_acc: 77.9102
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: 77.91015625
Retain Accuracy: 95.10138702392578
Zero-Retain Forget (ZRF): 0.736250638961792
Membership Inference Attack (MIA): 0.646
Forget vs Retain Membership Inference Attack (MIA): 0.644
Forget vs Test Membership Inference Attack (MIA): 0.511
Test vs Retain Membership Inference Attack (MIA): 0.6215
Train vs Test Membership Inference Attack (MIA): 0.58175
Forget Set Accuracy (Df): 83.7890625
Method Execution Time: 969.44 seconds
