hello
hello
Labels

📌S Retain class distribution for seed 7:
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 7:
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: 0.2826, val_loss: 0.7182, val_acc: 77.8613
Epoch [1], last_lr: 0.02000, train_loss: 0.2292, val_loss: 0.9554, val_acc: 74.0820
Epoch [2], last_lr: 0.02000, train_loss: 0.1389, val_loss: 0.7287, val_acc: 79.4922
Epoch [3], last_lr: 0.02000, train_loss: 0.1000, val_loss: 1.3020, val_acc: 71.2695
Epoch [4], last_lr: 0.02000, train_loss: 0.0652, val_loss: 0.9828, val_acc: 77.9004
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: 77.900390625
Retain Accuracy: 95.6494140625
Zero-Retain Forget (ZRF): 0.7145252823829651
Membership Inference Attack (MIA): 0.7048
Forget vs Retain Membership Inference Attack (MIA): 0.527
Forget vs Test Membership Inference Attack (MIA): 0.508
Test vs Retain Membership Inference Attack (MIA): 0.52425
Train vs Test Membership Inference Attack (MIA): 0.576
Forget Set Accuracy (Df): 84.46116638183594
Method Execution Time: 965.55 seconds
