hello
hello
Labels

📌S Retain class distribution for seed 8:
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 8:
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: 1.1927, val_loss: 0.8229, val_acc: 73.3887
Epoch [1], last_lr: 0.00010, train_loss: 1.0136, val_loss: 0.7406, val_acc: 76.1523
Epoch [2], last_lr: 0.00010, train_loss: 0.8721, val_loss: 0.7020, val_acc: 77.4316
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: 77.431640625
Retain Accuracy: 89.63219451904297
Zero-Retain Forget (ZRF): 0.9618269801139832
Membership Inference Attack (MIA): 0.2926
Forget vs Retain Membership Inference Attack (MIA): 0.6535
Forget vs Test Membership Inference Attack (MIA): 0.6
Test vs Retain Membership Inference Attack (MIA): 0.57625
Train vs Test Membership Inference Attack (MIA): 0.53575
Forget Set Accuracy (Df): 70.75022888183594
Method Execution Time: 959.21 seconds
