hello
hello
Labels

📌S Retain class distribution for seed 10:
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 10:
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: 0.00010, train_loss: 0.8243, val_loss: 0.6825, val_acc: 78.1445
Epoch [1], last_lr: 0.00010, train_loss: 0.6512, val_loss: 0.7379, val_acc: 77.9785
Epoch [2], last_lr: 0.00010, train_loss: 0.4840, val_loss: 0.8823, val_acc: 73.5840
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: 73.583984375
Retain Accuracy: 95.916015625
Zero-Retain Forget (ZRF): 0.9425240159034729
Membership Inference Attack (MIA): 0.2374
Forget vs Retain Membership Inference Attack (MIA): 0.67
Forget vs Test Membership Inference Attack (MIA): 0.6335
Test vs Retain Membership Inference Attack (MIA): 0.63075
Train vs Test Membership Inference Attack (MIA): 0.6
Forget Set Accuracy (Df): 38.039981842041016
Method Execution Time: 947.47 seconds
