hello
hello
Labels

📌S Retain class distribution for seed 1:
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 1:
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: 0.00010, train_loss: 1.1959, val_loss: 0.8065, val_acc: 73.6426
Epoch [1], last_lr: 0.00010, train_loss: 1.0170, val_loss: 0.7898, val_acc: 74.0723
Epoch [2], last_lr: 0.00010, train_loss: 0.8831, val_loss: 0.7465, val_acc: 76.7188
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: 76.71875
Retain Accuracy: 88.71875
Zero-Retain Forget (ZRF): 0.964445948600769
Membership Inference Attack (MIA): 0.305
Forget vs Retain Membership Inference Attack (MIA): 0.651
Forget vs Test Membership Inference Attack (MIA): 0.5885
Test vs Retain Membership Inference Attack (MIA): 0.5525
Train vs Test Membership Inference Attack (MIA): 0.53575
Forget Set Accuracy (Df): 72.3828125
Method Execution Time: 954.10 seconds
