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
78090990
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.8075, val_loss: 0.7731, val_acc: 72.3828
Epoch [1], last_lr: 0.02000, train_loss: 0.6078, val_loss: 0.6873, val_acc: 76.1621
Epoch [2], last_lr: 0.02000, train_loss: 0.4659, val_loss: 0.7477, val_acc: 74.5410
Epoch [3], last_lr: 0.02000, train_loss: 0.3454, val_loss: 0.9940, val_acc: 70.5859
Epoch [4], last_lr: 0.02000, train_loss: 0.2447, val_loss: 0.7391, val_acc: 77.2168
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: 77.216796875
Retain Accuracy: 91.94326782226562
Zero-Retain Forget (ZRF): 0.8073023557662964
Membership Inference Attack (MIA): 0.6088
Forget vs Retain Membership Inference Attack (MIA): 0.5445
Forget vs Test Membership Inference Attack (MIA): 0.4765
Test vs Retain Membership Inference Attack (MIA): 0.50625
Train vs Test Membership Inference Attack (MIA): 0.5495
Forget Set Accuracy (Df): 78.96139526367188
Method Execution Time: 995.50 seconds
