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
78090990
hello
hello
Epoch [0], last_lr: 0.02000, train_loss: 0.8216, val_loss: 0.8199, val_acc: 71.1816
Epoch [1], last_lr: 0.02000, train_loss: 0.6109, val_loss: 0.6929, val_acc: 75.6250
Epoch [2], last_lr: 0.02000, train_loss: 0.4728, val_loss: 0.6660, val_acc: 76.7383
Epoch [3], last_lr: 0.02000, train_loss: 0.3499, val_loss: 0.7433, val_acc: 76.1035
Epoch [4], last_lr: 0.02000, train_loss: 0.2446, val_loss: 0.9096, val_acc: 73.7109
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: 73.7109375
Retain Accuracy: 87.74449920654297
Zero-Retain Forget (ZRF): 0.8100355863571167
Membership Inference Attack (MIA): 0.5728
Forget vs Retain Membership Inference Attack (MIA): 0.5585
Forget vs Test Membership Inference Attack (MIA): 0.496
Test vs Retain Membership Inference Attack (MIA): 0.58575
Train vs Test Membership Inference Attack (MIA): 0.5265
Forget Set Accuracy (Df): 75.4124526977539
Method Execution Time: 976.50 seconds
