hello
hello
Labels

📌S Retain class distribution for seed 9:
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 9:
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: 0.8066, val_loss: 0.7670, val_acc: 72.5488
Epoch [1], last_lr: 0.02000, train_loss: 0.6119, val_loss: 0.7481, val_acc: 74.3164
Epoch [2], last_lr: 0.02000, train_loss: 0.4673, val_loss: 0.7197, val_acc: 75.8105
Epoch [3], last_lr: 0.02000, train_loss: 0.3444, val_loss: 0.6982, val_acc: 77.3340
Epoch [4], last_lr: 0.02000, train_loss: 0.2447, val_loss: 0.8395, val_acc: 75.3613
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: 75.361328125
Retain Accuracy: 89.01455688476562
Zero-Retain Forget (ZRF): 0.8031452298164368
Membership Inference Attack (MIA): 0.6164
Forget vs Retain Membership Inference Attack (MIA): 0.511
Forget vs Test Membership Inference Attack (MIA): 0.4935
Test vs Retain Membership Inference Attack (MIA): 0.5425
Train vs Test Membership Inference Attack (MIA): 0.5395
Forget Set Accuracy (Df): 76.30973815917969
Method Execution Time: 980.71 seconds
